Publikationsliste für
Peter Filzmoser
E105 - Institut für Stochastik und Wirtschaftsmathematik
als Autorin / Autor bzw. wesentlich beteiligte Person
821 Datensätze (2002 - 2022)
Bücher und Buch-Herausgaben
C. Agostinelli, A. Basu, P. Filzmoser, D. Mukherjee (Hrg.):
"Recent advances in robust statistics: theory and applications";
Springer International Publishing,
New Delhi,
2016,
ISBN: 978-81-322-3641-2;
200 S.
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.):
"Computer Data Analysis and Modeling Theoretical and Applied Stochastics / Proceedings of the Tenth International Conference, Minsk";
Publishing center BSU, Minsk,
Minsk,
2013,
ISBN: 978-985-553-138-9;
244 S.
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.):
"Computer Data Analysis and Modeling: Robustness and Computer Intensive Methods. Proceedings of the Seventh International Conference, Volume 1";
Belarusian State University,
Minsk,
2004,
ISBN: 985-445-492-4;
310 S.
R. Dutter, P. Filzmoser, U. Gather, P. Rousseeuw (Hrg.):
"Developments in Robust Statistics, International Conference on Robust Statistics 2001 ";
Physica-Verlag,
Heidelberg,
2003,
ISBN: 3-7908-1518-7.
R. Dutter, P. Filzmoser, U. Gather, P. Rousseeuw (Hrg.):
"Metrika, 55(1-2)";
Physica-Verlag,
Heidelberg,
2002.
R. Dutter, P. Filzmoser, Y. Kharin:
"Austrian Journal of Statistics";
in Buchreihe "Computer Data Analysis and Modeling",
Buchreihen-Herausgeber: H. Friedl;
herausgegeben von: Vol. 34(2);
Österreichische Statistische Gesellschaft,
Wien,
2005.
R. Dutter, P. Filzmoser, Y. Kharin:
"Proceedings of CDAM'2004";
in Buchreihe "Austrian Journal of Statistics",
Buchreihen-Herausgeber: H. Friedl;
Österreichische Statistische Gesellschaft,
Vienna,
2005.
R. Dutter, P. Filzmoser, Y. Kharin:
"Special Issue on the Eighth International Conference Computer Data Analysis and Modeling";
in Buchreihe "Austrian Journal of Statistics, Vol. 37",
Buchreihen-Herausgeber: H. Friedl;
Österreichische Statistische Gesellschaft,
Wien,
2008,
10 S.
R. Dutter, P. Filzmoser, Y. Kharin:
"Special Issue on the Seventh International Conference";
in Buchreihe "Austrian Journal of Statistics",
Buchreihen-Herausgeber: H. Friedl;
Österreichische Statistische Gesellschaft,
Wien,
2005.
P. Filzmoser, K. Hron, J.A. Martin-Fernandez, J. Palarea-Albaladejo (Hrg.):
"Advances in Compositional Data Analysis";
Springer Nature Switzerland AG,
Cham,
2021,
ISBN: 978-3-030-71174-0.
P. Filzmoser, K. Hron, M. Templ:
"Applied Compositional Data Analysis. With Worked Examples in R";
Springer Series in Statistics,
Cham, Switzerland,
2018,
ISBN: 978-3-319-96422-5;
287 S.
P. Filzmoser, M. Templ:
"Special Issue - 10th International Conference COMPUTER DATA ANALYSIS & MODELLING 2013, Minsk, Belarus ( Vol.43, 3-4)";
in Buchreihe "Österreichische Zeitschrift für Statistik",
Buchreihen-Herausgeber: ÖSG (P. Filzmoser);
Österreichische Statistische Gesellschaft,
2014,
ISSN: 1026-597x,
294 S.
H. Fritz, P. Filzmoser:
"Plausibility of Databases and the Relation to Imputation Methods";
VDM Verlag Dr. Müller,
Saarbrücken,
2008,
ISBN: 978-3-8364-5992-1.
K. Hron, P. Filzmoser, M. Templ (Hrg.):
"Proceedings of the 5th International Workshop on compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria";
TU WIEN,
2013,
ISBN: 978-3-200-03103-6;
196 S.
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser:
"Chemistry of Europe´s Agricultural Soils Part A and B (2-volume set), 880 pp | 1 DVD | Hardbound ISBN 978-3-510-96848-0";
in Buchreihe "Chemistry of Europe´s Agricultural Soils",
Buchreihen-Herausgeber: C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor;
herausgegeben von: The GEMAS Project Team;
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
2014,
ISBN: 978-3-510-96848-0,
880 S.
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor:
"Part A: Methodology and Interpretation of the GEMAS Data Set";
in Buchreihe "Chemistry of Europe's Agricultural Soils, Geologisches Jahrbuch (Reihe B)",
Buchreihen-Herausgeber: C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor;
herausgegeben von: The GEMAS Project Team;
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Hannover,
2014,
ISBN: 978-3-510-96846-6,
523 S.
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor:
"Part B: General Background Information and Further Analysis of the GEMAS Data Set";
in Buchreihe "Chemistry of Europe's Agricultural Soils, Geologisches Jahrbuch (Reihe B)",
Buchreihen-Herausgeber: C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor;
herausgegeben von: The GEMAS Project Team;
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Hannover,
2014,
ISBN: 978-3-510-96847-3,
352 S.
C. Reimann, A. Demetriades, M. Birke, P. O´Connor, J. Halamic, A. Ladenberger, The GEMAS Project Team:
"Distribution of elements/parameters in agricultural and grazing land soils of Europe";
in Buchreihe "Chemistry of Europe's Agricultural Soils. Part A: Methodology and Interpretation of the GEMAS Data Set, Geologisches Jahrbuch, Reihe B, Heft 102",
Buchreihen-Herausgeber: C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor;
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Stuttgart,
2014,
ISBN: 978-3-510-96846-6,
371 S.
C. Reimann, P. Filzmoser, R.G. Garrett, R. Dutter:
"Statistical Data Analysis Explained. Applied Environmental Statistics with R.";
John Wiley & Sons,
Chichester,
2008,
ISBN: 978-0-470-98581-6;
343 S.
C. Reimann, P. Filzmoser, K. Hron (Hrg.):
"GeoMap Workshop Proceedings";
Palacký University, Olomouc, Cz,
2014,
ISBN: 978-80-244-4149-8;
61 S.
V. Todorov, P. Filzmoser:
"Multivariate Robust Statistics - Methods and Computation";
Südwestdeutscher Verlag für Hochschulschriften,
Saarbrücken,
2009,
ISBN: 978-3-8381-0814-8;
135 S.
K. Varmuza, P. Filzmoser:
"Introduction to Multivariate Statistical Analysis in Chemometrics";
CRC Press,
Boca Raton,FL,USA,
2009,
ISBN: 978-1-4200-5947-2;
321 S.
Zeitschriftenartikel
C. Abreu-Junior, M. de Lima Brossi, R. Monteiro, P. Silveira Cardos, T. da Silva Mandu, T. Rodrigues Nogueir, A. Ganga, P. Filzmoser, F. Carvalho de Oliveira, L. Pittol Firme, Z. He, G. Capra:
"Effects of sewage sludge application on unfertile tropical soils evaluated by multiple approaches: a field experiment in a commercial Eucalyptus plantation";
Science of the Total Environment,
(655
(2018),
S. 1457
- 1467.
S. Acitas, P. Filzmoser, B. Senoglu:
"A new partial robust adaptive modified maximum likelihood estimator";
Chemometrics and Intelligent Laboratory Systems,
204
(2020).
S. Acitas, P. Filzmoser, B. Senoglu:
"A robust adaptive modified maximum likelihood estimator for the linear regression model. Journal of Statistical Computation and Simulation";
Journal of Statistical Computation and Simulation,
1
(2020).
A. Alfons, W. E. Baaske, P. Filzmoser, W. Mader, R. Wieser:
"Robust variable selection with application to quality of life research";
Statistical Methods & Applications,
20
(2011),
S. 65
- 82.
A. Alfons, C. Croux, P. Filzmoser:
"Robust maximum association between data sets: The R package ccaPP";
Austrian Journal of Statistics,
45
(2016),
1;
S. 71
- 79.
A. Alfons, C. Croux, P. Filzmoser:
"Robust Maximum Association Estimators";
Journal of the American Statistical Association,
112
(2017),
517;
S. 436
- 445.
A. Alfons, M. Templ, P. Filzmoser:
"An object-oriented framework for statistical simulation: The R Package simFrame";
Journal of Statistical Software,
37
(2010),
3;
S. 1
- 36.
A. Alfons, M. Templ, P. Filzmoser:
"Robust estimation of economic indicators from survey samples based on Pareto tail modelling";
Journal of the Royal Statistical Society: Series C (Applied Statistics),
Vol. 62
(2013),
Issue 2;
S. 271
- 286.
A. Alfons, M. Templ, P. Filzmoser:
"Simulation of close-to-reality population data for household surveys with application to EU-SILC";
Statistical Methods & Applications,
20
(2011),
3;
S. 383
- 407.
D. Ballabio, M. Vasighi, P. Filzmoser:
"Effects of supervised Self Organising Maps parameters on classification performance";
Analytica Chimica Acta,
765
(2013),
26 February;
S. 45
- 53.
W. Berger, H. Piringer, P. Filzmoser, E. Gröller:
"Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction";
Computer Graphics Forum,
30
(2011),
3;
S. 911
- 920.
M. Bögl, W. Aigner, P. Filzmoser, T. Lammarsch, S. Miksch, A. Rind:
"Visual Analytics for Model Selection in Time Series Analysis";
IEEE Transactions on Visualization and Computer Graphics,
19
(2013),
12;
S. 2237
- 2246.
M. Bögl, P. Filzmoser, T. Gschwandtner, T. Lammarsch, R. Leite, S. Miksch, A. Rind:
"Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction";
Computer Graphics Forum,
36
(2017),
3;
S. 227
- 238.
K. Boeheim, S.-M. Pock, M. Schloegel, P. Filzmoser:
"Active Middle Ear Implant Compared With Open-Fit Hearing Aid in Sloping High-Frequency Sensorineural Hearing Loss";
Otology & Neurotology,
31(3)
(2010),
S. 424
- 429.
R. Boubela, W. Huf, K. Kalcher, R. Stadky, P. Filzmoser, L. Pezawas, S. Kasper, C. Windischberger, E. Moser:
"A highly parallelized framework for computationally intensive MR data analysis";
Magnetic Resonance Materials in Physics, Biology and Medicine,
25
(2012),
August;
S. 313
- 320.
R. Boubela, K. Kalcher, W. Huf, C. Kronnerwetter, P. Filzmoser, E. Moser:
"Beyond noise: Using temporal ICA to extract meaningful information from high-frequency fMRI signal fluctuations during rest";
Frontiers in Human Neuroscience,
7
(2013),
168;
12 S.
J. Branco, C. Croux, P. Filzmoser, M.R. Oliveira:
"Robust Canonical Correlations: A Comparative Study";
Computational Statistics,
20
(2005),
S. 203
- 229.
M. Brandl, C. Hauzenberger, W. Postl, M. Martinez, P. Filzmoser, G. Trnaka:
"Radiolarite studies at Krems-Wachtberg (Lower Austria): Northern Alpine versus Carpathian lithic resources";
Quaternary International,
351
(2014),
S. 146
- 162.
M. Brandl, M. Martinez, C. Hauzenberger, P. Filzmoser, P. Nymoen, N. Mehler:
"A multi-technique analytical approach to sourcing Scandinavian flint: Provenance of ballast flint from the shipwreck "Leirvigen 1", Norway";
PLoS ONE,
13
(2018),
8;
S. 1
- 34.
S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Rohm:
"Robust and sparse k-means clustering for high-dimensional data";
Advances in Data Analysis and Classification,
1
(2019),
S. 1
- 28.
S. Brodinova, M. Zaharieva, P. Filzmoser, T. Ortner, C. Breiteneder:
"Clustering of imbalanced high-dimensional media data";
Advances in Data Analysis and Classification,
12
(2017),
2;
S. 261
- 284.
G. Capra, A. Ganga, P. Filzmoser, C. Gaviano, S. Vacca:
"Combining local and scientific knowledge on soil resources through an integrated ethnopedological approach";
CATENA,
142
(2016),
S. 89
- 101.
G. Capra, S. Tidu, R. Lovreglio, G. Certini, M. Salis, V. Bacciu, A. Ganga, P. Filzmoser:
"The impact of large fire on calcareous Mediterranean pedosystems (Sardinia, Italy) - An integrated multiple approach";
Science of the Total Environment,
624
(2018),
S. 1152
- 1162.
C. Croux, P. Filzmoser:
"A survey of robust statistics";
Statistical Methods & Applications,
15
(2007),
S. 280
- 282.
C. Croux, P. Filzmoser, H. Fritz:
"Robust Sparse Principal Component Analysis";
Technometrics,
Volume 55
(2013),
Issue 2;
S. 202
- 214.
C. Croux, P. Filzmoser, K. Joossens:
"Classification efficiencies for robust linear discriminant analysis";
Statistica Sinica,
18
(2008),
S. 581
- 599.
C. Croux, P. Filzmoser, M.R. Oliveira:
"Algorithms for Projection-Pursuit robust principal component analysis";
Chemometrics and Intelligent Laboratory Systems,
87
(2007),
S. 218
- 225.
C. Croux, P. Filzmoser, G. Pison, P. Rousseeuw:
"Fitting multiplicative models by robust alternating regressions";
Statistics and Computing,
13
(2003),
S. 23
- 36.
S. de la Rosa de Saa, M.A. Lubiano, B. Sinova, P. Filzmoser:
"Robust scale estimators for fuzzy data";
Advances in Data Analysis and Classification,
11
(2017),
S. 731
- 758.
S. de la Rosa de Saa, M.A. Lubiano, B. Sinova, P. Filzmoser, M. Gil:
"Location-free robust scale estimates for fuzzy data";
IEEE Transactions on Fuzzy Systems,
29
(2021),
S. 1682
- 1694.
J. de Sousa, K. Hron, K. Facevicova, P. Filzmoser:
"Robust principal component analysis for compositional tables";
Journal of Applied Statistics,
48
(2021).
M. Di Palma, P. Filzmoser, M. Gallo, K. Hron:
"A robust Parafact model for compositional data";
Journal of Applied Statistics,
45
(2018),
8;
S. 1347
- 1369.
M. Drastichova, P. Filzmoser:
"Assessment of sustainable development using cluster analysis and principal component analysis";
Problemy Ekorozwoju,
14
(2019),
2;
S. 7
- 24.
M. Drastichova, P. Filzmoser:
"Factors of Quality of Life in a Group of Selected European Union and OECD Countries";
Problemy Ekorozwoju,
16
(2021),
S. 75
- 93.
M. Drastichova, P. Filzmoser:
"The relationship between health outcomes and health expenditure in Europe by using compositional data analysis";
Problemy Ekorozwoju,
15
(2020),
2;
S. 99
- 110.
P. Duarte Silva, P. Brito, P. Filzmoser, J. Dias:
"MAINT.Data: Modelling and Analysing Interval Data in R";
R Journal,
1
(2021).
J.J. Egozcue, J. Daunis-I-Estadella, V. Pawlowsky-Glahn, K. Hron, P. Filzmoser:
"Simplicial regression. The normal model";
Journal of Applied Probability and Statistics,
6
(2012),
S. 87
- 108.
I. Fazekas, P. Filzmoser:
"A Functional Central Limit Theorem for Kernel Type Density Estimators";
Austrian Journal of Statistics,
35
(2006),
4;
S. 409
- 418.
P. Filzmoser:
"Identification of Multivariate Outliers: A Performance Study";
Austrian Journal of Statistics,
34, 2
(2005),
S. 127
- 138.
P. Filzmoser:
"Invariant co-ordinate selection (Discussion on this paper)";
Journal of the Royal Statistical Society,
71
(2009),
3;
S. 549
- 592.
P. Filzmoser, C. Croux:
"Dimension reduction of the explanatory variables in multiple linear regression";
Pliska Studia Mathematica Bulgaria,
14
(2003),
S. 59
- 70.
P. Filzmoser, R.G. Garrett, C. Reimann:
"Multivariate outlier detection in exploration geochemistry";
Computers & Geosciences,
31
(2005),
S. 579
- 587.
P. Filzmoser, C. Gatu, A. Zeileis:
"Special issue on statistical algorithms and software in R";
Computational Statistics and Data Analysis,
Volume 71
(2014),
S. 887
- 888.
P. Filzmoser, M. Gregorich:
"Multivariate outlier detection in applied data analysis: global, local, compositional and cellwise outliers";
Mathematical Geosciences,
4
(2020).
P. Filzmoser, M. Gschwandtner, V. Todorov:
"Review of sparse methods in regression and classification with application to chemometrics";
Journal of Chemometrics,
26
(2012),
10 S.
P. Filzmoser, S. Höppner, I. Ortner, S. Serneels, T. Verdonck:
"Cellwise robust M regression";
Computational Statistics and Data Analysis,
147
(2020).
P. Filzmoser, K. Hron:
"Comments on: Composition data: the sample space and its structure";
TEST,
28
(2019),
3;
S. 639
- 643.
P. Filzmoser, K. Hron:
"Correlation Analysis for Compositional Data";
Mathematical Geosciences,
41
(2009),
S. 905
- 919.
P. Filzmoser, K. Hron:
"Correlation Analysis for Compositional Data";
Mathematical Geosciences,
41
(2012),
8;
S. 905
- 919.
P. Filzmoser, K. Hron:
"Outlier Detection for Compositional Data Using Robust Methods";
Mathematical Geosciences,
40(3)
(2008),
S. 233
- 248.
P. Filzmoser, K. Hron:
"Univariate statistical analysis of environmental (compositional) data: Problems and possibilities";
Science of the Total Environment,
407
(2009),
S. 6100
- 6108.
P. Filzmoser, K. Hron, K. Hruzova, A. Menafoglio, M. Templ:
"Simplicial principal component analysis for density functions in Bayes spaces";
Computational Statistics and Data Analysis,
94
(2015),
S. 330
- 350.
P. Filzmoser, K. Hron, C. Reimann:
"Interpretation of multivariate outliers for compositional data";
Computers & Geosciences,
39
(2012),
S. 77
- 85.
P. Filzmoser, K. Hron, C. Reimann:
"Principal component analysis for compositional data with outliers";
Environmetrics,
20
(2009),
S. 621
- 632.
P. Filzmoser, K. Hron, C. Reimann, R.G. Garrett:
"Robust factor analysis for compositional data";
Computers & Geosciences,
35
(2009),
S. 1854
- 1861.
P. Filzmoser, K. Hron, R. Reimann:
"The bivariate statistical analysis of environmental (compositional) data";
Science of the Total Environment,
408
(2010),
S. 4230
- 4238.
P. Filzmoser, K. Hron, M. Templ:
"Discriminant analysis for compositional data and robust parameter estimation";
Computational Statistics,
27
(2012),
4;
S. 585
- 604.
P. Filzmoser, F. Kurnaz:
"A robust Liu regression estimator";
Communications in Statistics - Simulation and Computation,
47
(2018),
2;
S. 432
- 443.
P. Filzmoser, B. Liebmann, K. Varmuza:
"Repeated double cross validation";
Journal of Chemometrics,
23
(2009),
S. 160
- 171.
P. Filzmoser, R. Maronna, M. Werner:
"Outlier identification in high dimensions";
Computational Statistics and Data Analysis,
52
(2008),
S. 1694
- 1711.
P. Filzmoser, K. Nordhausen:
"Robust linear regression for high-dimensional data: an overview";
WIREs Computational Statistics,
13 (4)
(2021).
P. Filzmoser, P. Rousseeuw:
"Robust Statistics";
Encyclopedia of Life Support Systems,
UNESCO & EOLSS, www.eolss.org, Oxford
(2002).
P. Filzmoser, A. Ruiz-Gazen, C. Thomas-Agnan:
"Identification of local multivariate outliers";
Statistical Papers,
55
(2014),
1;
S. 29
- 47.
P. Filzmoser, V. Todorov:
"Review of robust multivariate statistical methods in high dimension";
Analytica Chimica Acta,
705
(2011),
S. 2
- 14.
P. Filzmoser, V. Todorov:
"Robust tools for the imperfect world";
Information Sciences,
25.10.
(2012),
245;
17 S.
P. Filzmoser, R. Viertl:
"Testing hypotheses with fuzzy data: The fuzzy p-value";
Metrika,
59
(2004),
S. 21
- 29.
P. Filzmoser, B. Walczak:
"What can go wrong at the data normalization step for identification of biomarkers?";
Journal of Chromatography A,
Volume 1362
(2014),
October;
S. 194
- 205.
B. Flem, C. Reimann, M. Birke, D. Banks, P. Filzmoser, B. Frengstad:
"Inorganic chemical quality of European tap-water: 2. Geographical distribution";
Applied Geochemistry,
Vol 59
(2015),
August;
S. 211
- 224.
B. Flem, C. Reimann, K. Fabian, M. Birke, P. Filzmoser, D. Banks:
"Graphical statistics to explore the natural and anthropogenic processes influencing the inorganic quality of drinking water, ground water and surface water";
Applied Geochemistry,
88
(2018),
Part B;
S. 133
- 148.
H. Fritz, P. Filzmoser, C. Croux:
"A comparison of algorithms for the multivariate L1-median";
Computational Statistics,
27
(2012),
S. 393
- 410.
M. Germ, O. Urbanc-Bercic, G.A. Janauer, P. Filzmoser, N. Exler, A. Gaberscik:
"Macrophyte distribution pattern in the Krka River--the role of habitat quality";
Large Rivers,
18(1-2)
(2008),
S. 145
- 155.
B. Glock, F. Endel, G. Endel, K. Sandholzer, N. Popper, C. Rinner, G. Duftschmid, P. Filzmoser, M.C. Mert, J. Holl, M. Wagner-Pinter:
"How sick is Austria? - A decision support framework for different evaluations of the burden of disease within the Austrian population based on different data sources";
International Journal of Population Data Science,
1
(2017),
1;
S. 92.
C. Gozzi, P. Filzmoser, A. Buccianti et al.:
"Statistical methods for the geochemical characterisation of surface waters: The case study of the Tiber River basin (Central Italy)";
Computers & Geosciences,
131
(2019),
S. 80
- 88.
G. Heiler, A. Hanbury, P. Filzmoser:
"The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data";
ArXiv,
2009.03798
(2020),
S. 1
- 14.
I. Hoffmann, P. Filzmoser, S. Serneels, K. Varmuza:
"Sparse and robust PLS for binary classification";
Journal of Chemometrics,
30
(2016),
4;
S. 153
- 162.
I. Hoffmann, S. Serneels, P. Filzmoser, C. Croux:
"Sparse partial robust M regression";
Chemometrics and Intelligent Laboratory Systems,
Volume 149, Part A, 15 December
(2015),
S. 50
- 59.
K. Hron, P. Brito, P. Filzmoser:
"Exploratory data analysis for interval compositional data";
Advances in Data Analysis and Classification,
11
(2017),
2;
S. 223
- 241.
K. Hron, G. Coenders, P. Filzmoser, J. Palarea-Albaladejo et al.:
"Analysing Pairwise Logratios Revisited";
Mathematical Geosciences,
53
(2021),
S. 1643
- 1666.
K. Hron, M. Engle, P. Filzmoser, E. Fiserová:
"Weighted symmetric pivot coordinates for compositional data with geochemical applications";
Mathematical Geosciences,
4
(2020).
K. Hron, P. Filzmoser, P. de Caritat, E. Fiserová, A. Gardlo, The GEMAS Project Team:
"Weighted pivot coordinates for compositional data and their application to geochemical mapping";
Mathematical Geosciences,
49
(2017),
6;
S. 797
- 814.
K. Hron, P. Filzmoser, S. Donevska, E. Fiserová:
"Covariance-based variable selection for compositional data";
Mathematical Geosciences,
45
(2013),
4;
S. 487
- 498.
K. Hron, P. Filzmoser, K. Thompson:
"Linear regression with compositional explanatory variables";
Journal of Applied Statistics,
39
(2012),
5;
S. 1115
- 1128.
K. Hron, M. Jelinkova, P. Filzmoser, R. Kreuziger, P. Bednar, P. Bartak:
"Statistical analysis of wines using a robust compositional biplot";
Talanta,
90
(2012),
S. 46
- 50.
K. Hron, A. Menafoglio, J. Palarea-Albaladejo, P. Filzmoser, R. Talska, J.J. Egozcue:
"Weighting of Parts in Compositional Data Analysis: Advances and Applications";
Mathematical Geosciences,
1
(2021).
K. Hron, M. Templ, P. Filzmoser:
"Estimation of a proportion in survey sampling using the logratio approach";
Metrika,
76
(2013),
6;
S. 799
- 818.
K. Hron, M. Templ, P. Filzmoser:
"Imputation of missing values for compositional data using classical and robust methods";
Computational Statistics and Data Analysis,
54
(2010),
S. 3095
- 3107.
K. Hruzova, V. Todorov, K. Hron, P. Filzmoser:
"Classical and robust orthogonal regression between parts of compositional data";
STATISTICS,
50
(2016),
6;
S. 1261
- 1275.
W. Huf, K. Kalcher, R. Boubela, G. Rath, A. Vecsei, P. Filzmoser, E. Moser:
"On the generalizability of resting-state fMRI machine learning classifiers";
Frontiers in Human Neuroscience,
8 (July)
(2014),
Article 502;
S. ##.
W. Huf, K. Kalcher, G. Pail, M-E Friedrich, P. Filzmoser, S. Kasper:
"Meta-analysis: Fact or fiction? How to interpret meta-analyses";
The World Journal of Biological Psychiatry,
12
(2011),
S. 188
- 200.
K. Kalcher, R. Boubela, W. Huf, L. Bartova, C. Kronnerwetter, B. Derntl, L. Pezawas, P. Filzmoser, C. Nasel, E. Moser:
"The Spectral Diversity of Resting-State Fluctuations in the Human Brain";
PLoS ONE,
Volume 9 (April)
(2014),
4, e93375;
S. ##.
K. Kalcher, R. Boubela, W. Huf, B. Biswal, P. Baldinger, U. Sailer, P. Filzmoser, C. Kasper, C. Lamm, R. Lanzenberger, E. Moser:
"RESCALE: Voxel-specific Task-fMRI Scaling Using Resting State Fluctuation Amplitude";
Neuroimage,
Volume 70
(2013),
15 April;
S. 80
- 88.
K. Kalcher, W. Huf, R. Boubela, P. Filzmoser, L. Pezawas, B. Biswal, S. Kasper, E. Moser, C. Windischberger:
"Fully exploratory network independent component analysis of the 1000 functional connectomes database";
Frontiers in Human Neuroscience,
6
(2012),
301;
S. ##.
A. Kalivodova, K. Hron, P. Filzmoser, L. Najdekr, H. Janeckova, T. Adam:
"PLS-DA for compositional data with application to metabolomics";
Journal of Chemometrics,
29(1)
(2015),
S. 21
- 28.
Z. Karacsony, P. Filzmoser:
"Asymptotic normality of kernel type regression estimators for random fields";
Journal of Statistical Planning and Inference,
140
(2010),
S. 872
- 886.
J. Kehrer, P. Filzmoser, H. Hauser:
"Brushing Moments in Interactive Visual Analysis";
Eurograhics Digital Library,
29
(2010),
3;
10 S.
F. Kurnaz, I. Hoffmann, P. Filzmoser:
"Robust and sparse estimation methods for high dimensional linear and logistic regression";
Chemometrics and Intelligent Laboratory Systems,
172
(2018),
S. 211
- 222.
P. Kynčlová, P. Filzmoser, K. Hron:
"Compositional biplots including external non-compositional variables";
STATISTICS,
50
(2016),
5;
S. 1132
- 1148.
P. Kynčlová, P. Filzmoser, K. Hron:
"Modeling Compositional Time Series with Vector Autoregressive Models";
Journal of Forecasting,
Volume 34
(2015),
Issue 4 / July;
S. 303
- 314.
P. Kynčlová, K. Hron, P. Filzmoser:
"Correlation between compositional parts based on symmetric balances";
Mathematical Geosciences,
49
(2017),
6;
S. 777
- 796.
M. Landauer, M. Wurzenberger, F. Skopik, G. Settanni, P. Filzmoser:
"Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection";
Computers & Security,
79
(2018),
S. 94
- 116.
B. Lemière, J. Melleton, P. Auger, D. Miksova, P. Filzmoser, M. Middleton et al.:
"pXRF measurements on soil samples for the exploration of an antimony deposit: example from the Vendean antimony district (France)";
Minerals,
10(8)
(2020),
724.
B. Liebmann, P. Filzmoser, K. Varmuza:
"Robust and classical PLS regression compared";
Journal of Chemometrics,
24
(2010),
S. 111
- 120.
S. Lubbe, M. Templ, P. Filzmoser:
"Comparison of Zero Replacement Strategies for Compositional Data with Large Numbers of Zeros";
Chemometrics and Intelligent Laboratory Systems,
210
(2021),
S. 1
- 14.
J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Bayesian-multiplicative treatment of count zeros in compositional data sets";
Statistical Modelling,
15
(2015),
2;
S. 134
- 158.
J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Model-based replacement of rounded zeros in compositional data: Classical and robust approaches";
Computational Statistics and Data Analysis,
56
(2012),
S. 2688
- 2704.
J.C. Martinez Avila, P. Filzmoser, N. Neykov:
"Statistical modeling of hunting success using hunter surveys";
Austrian Journal of Statistics,
Volume 42
(2013),
Issue 2;
S. 67
- 80.
J. McKinley, K. Hron, E. Grunsky, C. Reimann, P. de Caritat, P. Filzmoser, K. van den Boogaart, R. Tolosana-Delgado:
"The single component geochemical map: Fact or fiction?";
Journal of Geochemical Exploration,
162
(2016),
S. 16
- 28.
M.C. Mert, P. Filzmoser, G. Endel, I. Wilbacher:
"Compositional data analysis in epidemiology";
Statistical Methods in Medical Research,
27
(2018),
6;
S. 1878
- 1891.
M.C. Mert, P. Filzmoser, K. Hron:
"Error Propagation in Isometric Log-ratio Coordinates for Compositional Data: Theoretical and Practical Considerations";
Mathematical Geosciences,
48
(2016),
8;
S. 941
- 961.
M.C. Mert, P. Filzmoser, K. Hron:
"Sparse principal balances";
Statistical Modelling,
15
(2015),
2;
S. 159
- 174.
D. Miksova, P. Filzmoser, M. Middleton:
"Imputation of values above an upper detection limit in compositional data";
Computers & Geosciences,
136
(2020),
104383.
D. Miksova, C. Rieser, P. Filzmoser:
"Identification of Mineralization in Geochemistry Along a Transect Based on the Spatial Curvature of Log-Ratios";
Mathematical Geosciences,
53
(2021),
S. 1513
- 1533.
D. Miksova, C. Rieser, P. Filzmoser, M. Middleton et al.:
"Identification of Mineralization in Geochemistry for Grid Sampling Using Generalized Additive Models";
Mathematical Geosciences,
53
(2021),
S. 1861
- 1880.
D. Miksova, C. Rieser, P. Filzmoser, S. Thaarup, J. Melleton:
"A method to identify geochemical mineralization on linear transects";
Austrian Journal of Statistics,
49
(2020),
S. 89
- 98.
G. Monti, P. Filzmoser:
"Robust logistic zero-sum regression for microbiome compositional data";
Advances in Data Analysis and Classification,
1
(2021).
G. Monti, P. Filzmoser:
"Sparse least trimmed squares regression with compositional covariates for high-dimensional data";
Bioinformatics,
37
(2021),
S. 3805
- 3814.
G. Monti, P. Filzmoser, R. Deutsch:
"A robust approach to risk assessment based on species sensitivity distributions";
Risk Analysis,
38
(2018),
10;
S. 2073
- 2086.
L. Moreau, M. Brandl, P. Filzmoser, C. Hauzenberger, E. Goemaere, I. Jadin, H. Collet, A. Hanzeur, R. Schmitz:
"Geochemical Sourcing of Flint Artifacts from Western Belgium and the German Rhineland: Testing Hypotheses on Gravettian Period Mobility and Raw Material Economy";
Geoarchaeology - An International Journal,
31
(2016),
3;
S. 229
- 243.
L. Moreau, A. Ciornei, E. Gjesfjeld, P. Filzmoser et al.:
"First geochemical 'fingerprinting' of Balkan and Prut flint from Palaeolithic Romania: potentials, limitations and future directions";
Archaeometry,
61
(2019),
3;
S. 521
- 538.
L. Moreau, P. Filzmoser et al.:
"Adaptive Trade-offs Towards the Last Glacial Maximum in North-Western Europe: a Multidisciplinary View from Walou Cave";
Journal of Paleolithic Archaeology,
4
(2021),
11.
N. Mumic, P. Filzmoser:
"A multivariate test for detecting fraud based on Benford´s law, with application to music streaming data";
Statistical Methods & Applications,
30
(2021),
S. 819
- 840.
N. Neykov, P. Cizek, P. Filzmoser, P. Neytchev:
"The least trimmed quantile regression";
Computational Statistics and Data Analysis,
56
(2012),
S. 1757
- 1770.
N. Neykov, P. Filzmoser, R. Dimova, P. Neytchev:
"Robust fitting of mixtures using the trimmed likelihood estimator";
Computational Statistics and Data Analysis,
52
(2007),
S. 299
- 308.
N. Neykov, P. Filzmoser, P. Neytchev:
"Robust joint modeling of mean and dispersion through trimming";
Computational Statistics and Data Analysis,
56
(2012),
S. 34
- 48.
N. Neykov, P. Filzmoser, P. Neytchev:
"Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator";
Statistical Papers,
Volume 55
(2014),
Issue 1;
S. 187
- 207.
K. Nordhausen, P. Filzmoser, G. Fischer:
"Blind source separation for compositional time series";
Mathematical Geosciences,
6
(2020).
K. Nordhausen, H. Oja, P. Filzmoser, C. Reimann:
"Blind source separation for spatial compositional data";
Mathematical Geosciences,
October
(2014).
K. Nordhausen, H. Oja, P. Filzmoser, C. Reimann:
"Blind Source Separation for Spatial Compositional Data";
Mathematical Geosciences,
47
(2015),
Issue 7;
S. 753
- 770.
I. Ortner, P. Filzmoser, C. Croux:
"Robust and sparse multigroup classification by the optimal scoring approach";
Data Mining and Knowledge Discovery,
34
(2020),
S. 723
- 741.
T. Ortner, P. Filzmoser, G. Endel:
"Identifying Structural Changes in Austrian Social Insurance Data";
IFAC PapersOnLine,
48
(2015),
Issue 1;
S. 115
- 120.
T. Ortner, P. Filzmoser, M. Rohm, C. Breiteneder, S. Brodinova:
"Guided projections for analyzing the structure of high-dimensional data";
Journal of Computational and Graphical Statistics,
28
(2018),
4;
750 S.
T. Ortner, P. Filzmoser, M. Rohm, S. Brodinova, C. Breiteneder:
"Local projections for high-dimensional outlier detection";
METRON,
1
(2021),
79;
18 S.
A. Pedro Duarte Silva, P. Filzmoser, P. Brito:
"Outlier detection in interval data";
Advances in Data Analysis and Classification,
12
(2018),
3;
S. 785
- 822.
S. Perez-Fernandez, P. Martinez-Camblor, P. Filzmoser, N. Corral:
"nsROC: An R package for non-standard ROC curve analysis";
R Journal,
043
(2018),
S. 1
- 22.
S. Perez-Fernandez, P. Martinez-Camblor, P. Filzmoser, N. Corral-Blanco:
"Visualizing the decision rules behind the ROC curves: understanding the classification process";
AStA Advances in Statistical Analysis,
105 (1)
(2021),
S. 135
- 161.
G. Pison, P. Rousseeuw, P. Filzmoser, C. Croux:
"Robust factor analysis";
Journal of Multivariate Analysis,
84
(2003),
S. 145
- 172.
J. Rabeder, H. Reitner, I. Wimmer-Frey, P. Filzmoser, M. Mert et al.:
"Integrative Analyse der L oss- und L osslehmvorkommen im osterreichischen Alpenvorland und im Wiener Becken { ein Beitrag zum Interaktiven Rohsto -Informationssystem IRIS-Online";
BHM Berg- und Hüttenmännische Monatshefte,
166 (4)
(2021),
S. 206
- 211.
C. Reimann, A. Arnoldussen, P. Englmaier, P. Filzmoser, T.E. Finne, R.G. Garrett, F. Koller, O. Nordgulen:
"Element concentrations and variations along a 120-km transect in southern Norway - Anthropogenic vs. geogenic vs. biogenic element sources and cycles";
Applied Geochemistry,
22
(2007),
S. 851
- 871.
C. Reimann, M. Birke, P. Filzmoser:
"Bottled drinking water: Water contamination from bottle materials (glass, hard PET, soft PET), the influence of colour and acidification";
Applied Geochemistry,
25
(2010),
S. 1030
- 1046.
C. Reimann, M. Birke, P. Filzmoser:
"Reply to the comment "Bottled drinking water: Water contamination from bottle materials (glass, hard PET, soft PET), the influence of colour and acidification" by Hayo Müller-Simon";
Applied Geochemistry,
25
(2010),
S. 1464
- 1465.
C. Reimann, M. Birke, P. Filzmoser:
"Temperature-dependent leaching of chemical elements from mineral water bottle materials";
Applied Geochemistry,
27
(2012),
S. 1492
- 1498.
C. Reimann, K. Fabian, M. Birke, P. Filzmoser, A. Demetriades, P. Negrel, K. Oorts, J. Matschullat, P. de Caritat:
"GEMAS: Establishing geochemical back- ground and threshold for 53 chemical elements in European agricultural soil";
Applied Geochemistry,
88
(2018),
B;
S. 302
- 318.
C. Reimann, K. Fabian, B. Flem, M. Anderson, P. Filzmoser, P. Englmaier:
"Geosphere-biosphere circulation of chemical elements in soil and plant systems from a 100 km transect from southern central Norway";
Science of the Total Environment,
639
(2018),
S. 129
- 145.
C. Reimann, K. Fabian, B. Flem, M. Anderson, P. Filzmoser, P. Englmaier:
"The response of 12 different plant materials and one mushroom to Mo and Pb mineralisation along a 100-km transect in southern central Norway";
Geochemistry: Exploration, Environment, Analysis,
18
(2018),
3;
S. 204
- 215.
C. Reimann, P. Filzmoser, K. Fabian, K. Hron, M. Birke, A. Demetriades, E. Dinelli, A. Ladenberger et al.:
"The concept of compositional data analysis in practice - Total major element concentrations in agricultural and grazing land soils of Europe";
Science of the Total Environment,
426
(2012),
S. 196
- 210.
C. Reimann, P. Filzmoser, R. Garrett:
"Factor analysis applied to regional geochemical data: problems and possibilities";
Applied Geochemistry,
17
(2002),
S. 185
- 206.
C. Reimann, P. Filzmoser, R.G. Garrett:
"Background and threshold: critical comparison of methods of determination";
Science of the Total Environment,
346
(2005),
S. 1
- 16.
C. Reimann, P. Filzmoser, K. Hron, P. Kynčlová, R.G. Garrett:
"A new method for correlation analysis of compositional (environmental) data - a worked example";
Science of the Total Environment,
607-608
(2017),
Supplement C;
S. 965
- 971.
C. Reimann, P. Negrel, A. Ladenberger, M. Birke, P. Filzmoser, P. O´Connor, A. Demetriades:
"Comment on "Heavy metals in agricultural soil of the European Union with implications for food safety" by G. Toth, T. Hermann, M.R. Da Silva, and L. Montanarella";
Environment International,
97
(2016),
S. 258
- 263.
C. Reimann, P. Negrel, A. Ladenberger, M. Birke, P. Filzmoser, P. O´Connor, A. Demetriades:
"Comment on "Maps of heavy metals in the soils of the European Union and proposed priority areas for detailed assessment" by Tóth, G., Hermann, T., Szatmári, G., Pásztor, L.";
Science of the Total Environment,
578
(2017),
S. 236
- 241.
B. Richter, M. Gwechenberger, P. Filzmoser, M. Marx, P. Lercher, H. D. Gössinger:
"Is inducibility of atrial fibrillation after radio frequency ablation really a relevant prognostic factor?";
European Heart Journal,
27
(2006),
S. 2553
- 2559.
C. Rieser, P. Filzmoser:
"Compositional trend ltering";
Annales Mathematicae et Informaticae,
53
(2021),
S. 257
- 270.
D. Rosadi, P. Filzmoser:
"Robust second-order least-squares estimation for regression models with autoregressive errors";
Statistical Papers,
60
(2019),
S. 105
- 122.
D. Rosadi, E. Setiawan, M. Templ, P. Filzmoser:
"Robust Covariance Estimators for Mean-Variance Portfolio Optimization with Transaction Lots";
Operations Research Perspectives,
7
(2020).
A. Sarbu, G.A. Janauer, U. Schmidt-Mumm, P. Filzmoser, D. Smarandache, G. Pascale:
"Characterisation of the potamal Danube River and the Delta: connectivity determines indicative macrophyte assemblages";
Hydrobiologia,
671
(2011),
1;
S. 75
- 93.
S. Serneels, C. Croux, P. Filzmoser, P.J. Van Espen:
"Partial robust M-regression";
Chemometrics and Intelligent Laboratory Systems,
79
(2005),
S. 55
- 64.
S. Serneels, C. Croux, P. Filzmoser, P.J. Van Espen:
"Robust continuum regression";
Chemometrics and Intelligent Laboratory Systems,
76(2)
(2005),
S. 197
- 204.
N. Stefelova, A. Alfons, J. Palarea-Albaladejo, P. Filzmoser, K. Hron:
"Robust regression with compositional covariates including cellwise outliers";
Advances in Data Analysis and Classification,
15
(2021),
S. 869
- 909.
O. Stenzel, M. Hilchenbach, S. Merouane, J. Paquette, K. Varmuza, C. Engrand, F. Brandstätter, C. Koeberl, L. Ferrière, P. Filzmoser, S. Siljeström, .. The COSIMA team et al.:
"Similarities in element content between Comet 67P/Churyumov-Gerasimenko coma dust and selected me- teorite samples";
Monthly Notices of the Royal Astronomical Society,
469
(2017),
Supp_2;
S. 492
- 505.
I. Suchara, J. Sucharova, M. Hola, C. Reimann, B. Rognvald, P. Filzmoser, P. Englmaier:
"The performance of moss, grass, and 1- and 2-year old spruce needles as bioindicators of contamination: A comparative study at the scale of the Czech Republic";
Science of the Total Environment,
409
(2011),
S. 2281
- 2297.
J. Sucharova, I. Suchara, M. Hola, S. Marikova, C. Reimann, R. Boyd, P. Filzmoser, P. Englmaier:
"Top-/bottom-soil ratios and enrichment factors: What do they really show?";
Applied Geochemistry,
27
(2012),
S. 138
- 145.
J. Sucharova, I. Suchara, M. Hola, C. Reimann, B. Rognvald, P. Filzmoser, P. Englmaier:
"Linking chemical elements in forest floor humus (Oh-horizon) in the Czech Republic to contamination sources";
Environmental Pollution,
159
(2011),
S. 1205
- 1214.
J. Sucharova, I. Suchara, C. Reimann, R. Boyd, P. Filzmoser, P. Englmaier:
"Spatial distribution of lead and lead isotopes in soil B-horizon, forest-floor humus, grass (Avenella flexuosa) and spruce (Picea abies) needles across the Czech Republic";
Applied Geochemistry,
26
(2011),
S. 1205
- 1214.
B. Templ, M. Templ, P. Filzmoser, A. Lehoczky, B. Czúcz, E. Baksiene, S. Fleck, H. Gregow, S. Hodzic, G. Kalvane, E. Kubin, V. Palm, V. Romanovskaja, V. Vucetic, A. Zust:
"Phenological patterns of flowering across biogeographical regions of Europe";
International Journal Of Biometeorology,
61
(2017),
7;
S. 1347
- 1358.
M. Templ, S. Aklan, P. Filzmoser, M. Preusser, J. Hainfellner:
"Statistical Indicators for the Analysis of Digitalized Brain Tumor Images";
Austrian Journal of Statistics,
Volume 42
(2013),
2;
S. 81
- 100.
M. Templ, A. Alfons, P. Filzmoser:
"Exploring incomplete data using visualization techniques";
Advances in Data Analysis and Classification,
6
(2012),
S. 29
- 47.
M. Templ, P. Filzmoser:
"Simulation and quality of a synthetic close-to-reality employer-employee population";
Journal of Applied Statistics,
41
(2014),
5;
S. 1053
- 1072.
M. Templ, P. Filzmoser, C. Reimann:
"Cluster analysis applied to regional geochemical data: Problems and possibilities";
Applied Geochemistry,
23
(2008),
8;
S. 2198
- 2213.
M. Templ, J. Gussenbauer, P. Filzmoser:
"Evaluation of robust outlier detection methods for zero-inflated complex data";
Journal of Applied Statistics,
0
(2019),
1;
S. 1
- 24.
M. Templ, K. Hron, P. Filzmoser:
"Exploratory Tools for Outlier Detection in Compositional Data with Structural Zeros";
Journal of Applied Statistics,
44
(2017),
4;
S. 734
- 752.
M. Templ, K. Hron, P. Filzmoser, A. Gardlo:
"Imputation of rounded zeros for high-dimensional compositional data";
Chemometrics and Intelligent Laboratory Systems,
155
(2016),
S. 183
- 190.
M. Templ, A. Kowarik, P. Filzmoser:
"Iterative stepwise regression imputation using standard and robust methods";
Computational Statistics and Data Analysis,
55
(2011),
S. 2793
- 2806.
J. Tobin, J. Walach, D. Beer, J. Williams, P. Filzmoser, B. Walczak:
"Untargeted analysis of chromatographic data for green and fermented rooibos: problem with size effect removal";
Journal of Chromatography A,
1525
(2017),
0;
S. 109
- 115.
R. Todeschini, D. Ballabio, V. Consonni, F. Sahigara, P. Filzmoser:
"Locally-centred Mahalanobis distance: a new distance measure with salient features towards outlier detection";
Analytica Chimica Acta,
Volume 787
(2013),
S. 1
- 9.
V. Todorov, P. Filzmoser:
"An Object-Oriented Framework for Robust Multivariate Analysis";
Journal of Statistical Software,
32
(2009),
3;
S. 1
- 47.
V. Todorov, P. Filzmoser:
"Robust statistic for the one-way MANOVA";
Computational Statistics and Data Analysis,
54
(2010),
S. 37
- 48.
V. Todorov, P. Filzmoser:
"Software tools for robust analysis of high-dimensional data";
Austrian Journal of Statistics,
Vol 43 (3-4)
(2014),
No 4;
S. 255
- 266.
V. Todorov, M. Templ, P. Filzmoser:
"Detection of multivariate outliers in business survey data with incomplete information";
Advances in Data Analysis and Classification,
5
(2011),
1;
S. 37
- 56.
H. Treiblmaier, P. Filzmoser:
"Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research";
Information & Management,
47
(2010),
S. 197
- 207.
C. Turkay, P. Filzmoser, H. Hauser:
"Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data";
IEEE Transactions on Visualization and Computer Graphics,
17
(2011),
12;
S. 2591
- 2599.
K. van den Boogaart, P. Filzmoser, K. Hron, M. Templ, R. Tolosana-Delgado:
"Classical and Robust Regression Analysis with Compositional Data";
Mathematical Geosciences,
1
(2020).
P-J van Helvoort, P. Filzmoser, P. van Gaans:
"Sequential Factor Analysis as a new approach to multivariate analysis of heterogeneous geochemical datasets: An application to a bulk chemical characterization of fluvial deposits (Rhine-Meuse delta, The Netherlands";
Applied Geochemistry,
20
(2005),
S. 2233
- 2251.
K. Varmuza, M. Dehmer, F. Emmert-Streib, P. Filzmoser:
"Automorphism groups of alkane graphs";
Croatica Chemica Acta,
94
(2021),
S. 47
- 58.
K. Varmuza, C. Engrand, P. Filzmoser, M. Hilchenbach, J. Kissel, H. Krüger, J. Silén, M. Trieloff:
"Random projection for dimensionality reduction-Applied to time-of-flight secondary ion mass spectrometry data";
Analytica Chimica Acta,
705
(2011),
S. 48
- 55.
K. Varmuza, P. Filzmoser, M. Dehmer:
"Multivariate linear QSPR/QSAR models: Rigorous evaluation of variable selection for PLS";
Computational and Structural Biotechnology Journal,
5
(2013),
6;
10 S.
K. Varmuza, P. Filzmoser, N. Fray, H. Cottin, S. Merouane et al.:
"Composition of cometary particles collected during two periods of the Rosetta mission: multivariate evaluation of mass spectral data";
Journal of Chemometrics,
34
(2020),
e3218;
S. 1
- 8.
K. Varmuza, P. Filzmoser, M. Hilchenbach, H. Krüger, J. Silén:
"KNN classification - evaluated by repeated double cross validation: Recognition of minerals relevant for comet dust";
Chemometrics and Intelligent Laboratory Systems,
Volume 138
(2014),
15 November;
S. 64
- 71.
K. Varmuza, P. Filzmoser, I. Hoffmann, J. Walach et al.:
"Significance of variables for discrimination - applied to the search of organic ions in mass spectra measured on cometary particles";
Journal of Chemometrics,
32
(2018),
4;
S. 1
- 13.
K. Varmuza, P. Filzmoser, B. Liebmann:
"Random projection experiments with chemometric data";
Journal of Chemometrics,
24
(2010),
S. 209
- 217.
K. Varmuza, P. Filzmoser, B. Liebmann, M. Dehmer:
"Redundancy analysis for characterizing the correlation between groups of variables - Applied to molecular descriptors";
Chemometrics and Intelligent Laboratory Systems,
117
(2012),
S. 31
- 41.
O. Vencalek, K. Hron, P. Filzmoser:
"A comparison of generalized linear models and compositional data analysis for parameter estimation in ordered categories models";
Statistical Modelling,
1
(2019).
J. Walach, P. Filzmoser, K. Hron, B. Walczak, L. Najdekr:
"Robust biomarker identification in a two-class problem based on pairwise log-ratios";
Chemometrics and Intelligent Laboratory Systems,
171
(2017),
S. 277
- 285.
J. Walach, P. Filzmoser, S. Kouril, D. Friedecky, T. Adam:
"Cellwise outlier detection and biomarker identification in metabolomics based on pairwise log-ratios";
Journal of Chemometrics,
3182
(2019).
A. Weisser, G. Endel, P. Filzmoser, M. Gyimesi:
"ATC->ICD - evaluating the reliability of prognoses for ICD-10 diagnoses derived from the ATC-Code of prescriptions";
BMC Health Services Research,
8
(2008),
S. 10.
D. Zick, H. Gassner, P. Filzmoser, J. Wanzenböck, B. Pamminger-Lahnsteiner, G. Tischler:
"Changes in the fish species composition of all Austrian lakes >50 ha during the last 150 years";
Fisheries Management and Ecology,
13
(2006),
S. 103
- 111.
A. Zimek, P. Filzmoser:
"There and back again: Outlier detection between statistical reasoning and data mining algorithms";
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,
8
(2018),
6.
Editorials in wiss. Zeitschriften
P. Filzmoser, K. Hron:
"Special Issue: Compositional Data Modelling";
Statistical Modelling,
15 ( 2 )
(2015),
S. vii
- viii.
P. Filzmoser, K. Hron, R. Tolosana-Delgado:
"Statistical analysis of geochemical compositions: Problems, perspectives and solutions";
Applied Geochemistry (eingeladen),
75
(2016),
S. 169
- 170.
P. Filzmoser, Y. Kharin:
"Special issue of the CDAM 2016 conference";
Austrian Journal of Statistics (eingeladen),
46
(2017),
3-4;
S. 1
- 2.
Buchbeiträge
W. E. Baaske, P. Filzmoser, W. Mader, R. Wieser:
"Agriculture as a success factor for municipalities";
in: "Jahrbuch der Österreichischen Gesellschaft für Agrarökonomie",
Facultas Verlags- und Buchhandels AG,
Wien,
2009,
ISBN: 978-3-7089-0431-3,
S. 21
- 30.
S. de la Rosa de Saa, P. Filzmoser, M. Gil, M. Asunción Lubiano:
"On the Robustness of Absolute Deviations with Fuzzy Data";
in: "Strengthening Links Between Data Analysis and Soft Computing",
Springer Verlag,
2015,
ISBN: 978-3-319-10764-6,
S. 133
- 141.
A. Demetriades, C. Reimann, P. Filzmoser:
"Evaluation of GEMAS project quality control results";
in: "Chemistry of Europe's Agricultural Soils. Part A: Methodology and Interpretation of the GEMAS Data Set, Geologisches Jahrbuch, Reihe B, Heft 102",
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor (Hrg.);
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Stuttgart,
2014,
ISBN: 978-3-510-96846-6,
S. 47
- 60.
P. Filzmoser:
"Robust Factor Analysis: Methods and Applications";
in: "Latent Variable and Latent Structure Models",
G. Marcoulides, I. Moustaki (Hrg.);
Lawrence Erlbaum Associates,
Mahwa, New Jersey,
2002,
ISBN: 0-8058-4046-x,
S. 153
- 194.
P. Filzmoser:
"Robust statistics";
in: "Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series.",
B. Sagar, Q. Cheng, J. McKinley, F. Agterberg (Hrg.);
Springer, Cham,
2021,
ISBN: 978-3-030-26050-7.
P. Filzmoser, C. Croux:
"A Projection Algorithm for Regression with Collinearity";
in: "Classification, Clustering, and Data Analysis",
K. Jajuga, A. Sokolowski, H. Bock (Hrg.);
Springer,
Berlin,
2002,
ISBN: 3-540-43691-x,
S. 227
- 234.
P. Filzmoser, K. Hron:
"Compositional Data analysis in chemometrics, In R. Tauler, B. Walczak and S.D. Brown, editors.";
in: "Comprehensive Chemometrics: Chemical and Biochemical Data Analysis",
2;
R. Tauler, B. Walczak, S.D. Brown (Hrg.);
Elsevier,
2020,
ISBN: 9780444641656,
S. 641
- 662.
P. Filzmoser, K. Hron:
"Robust Coordinates for Compositional Data Using Weighted Balances";
in: "Modern Nonparametric, Robust and Multivariate Methods / Festschrift in Honour of Hannu Oja",
10.1007/978-3-319-22404-6_10;
K. Nordhausen, S. Taskinen (Hrg.);
Springer International Publishing Switzerland,
Berlin,
2015,
ISBN: 978-3-319-22403-9,
S. 167
- 184.
P. Filzmoser, K. Hron:
"Robust statistical analysis";
in: "Compositional Data Analysis: Theory and Applications",
John Wiley & Sons,
2011,
ISBN: 978-0-470-71135-4,
S. 59
- 72.
P. Filzmoser, K. Hron:
"Robustness for Compositional Data";
in: "Robustness and Complex Data Structures, Festschrift in Honour of Ursula Gather",
C. Becker, R. Fried, S. Kuhnt (Hrg.);
Springer Verlag,
Becker, Claudia; Fried, Roland; Kuhnt, Sonja,
2013,
ISBN: 978-3-642-35493-9,
S. 117
- 134.
P. Filzmoser, K. Hron, A. Menafoglio:
"Logratio Approach to Distributional Modeling";
in: "Advances in Contemporary Statistics and Econometrics",
A. Daouia, A. Ruiz-Gazen (Hrg.);
Springer, Cham,
2021,
ISBN: 978-3-030-73248-6,
S. 451
- 470.
P. Filzmoser, C. Reimann:
"Multivariate data analysis";
in: "Chemistry of Europe's Agricultural Soils. Part A: Methodology and Interpretation of the GEMAS Data Set, Geologisches Jahrbuch, Reihe B, Heft 102",
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor (Hrg.);
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Stuttgart,
2014,
ISBN: 978-3-510-96846-6,
S. 83
- 92.
P. Filzmoser, C. Reimann:
"Robust Multivariate Methods in Geostatistics";
in: "Classification, Automation, and New Media",
W. Gaul, G. Ritter (Hrg.);
Springer,
Berlin,
2002,
ISBN: 3-540-43233-7,
S. 429
- 436.
P. Filzmoser, C. Reimann, M. Birke:
"Univariate data analysis and mapping";
in: "Chemistry of Europe's Agricultural Soils. Part A: Methodology and Interpretation of the GEMAS Data Set, Geologisches Jahrbuch, Reihe B, Heft 102",
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor (Hrg.);
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Stuttgart,
2014,
ISBN: 978-3-510-96846-6,
S. 67
- 81.
P. Filzmoser, S. Serneels, R. Maronna, C. Croux:
"Robust multivariate methods in chemometrics, In R. Tauler, B. Walczak, and S.D. Brown, editors";
in: "Comprehensive Chemometrics: Chemical and Biochemical Data Analysis",
2;
herausgegeben von: Elsevier;
Elsevier,
(*),
2020,
ISBN: 9780444641656,
S. 681
- 722.
P. Filzmoser, S. Serneels, R. Maronna, P.J. Van Espen:
"Robust Multivariate Methods in Chemometrics";
in: "Comprehensive Chemometrics: Chemical and Biochemical Data Analysis",
S.D. Brown, R. Tauler, B. Walczak (Hrg.);
Elsevier,
2009,
S. 663
- 722.
M. Gschwandtner, P. Filzmoser:
"Outlier detection in high dimension using regularization";
in: "Synergies of Soft Computing and Statistics for Intelligent Data Analysis - Advances in Intelligent Systems and Computing",
Springer Verlag Berlin-Heidelberg,
2013,
ISBN: 978-3-642-33041-4,
S. 237
- 244.
K. Hron, P. Filzmoser:
"Exploring compositional data with the robust compositional biplot";
in: "Advances in Latent Variables. Part of the series Studies in Theoretical and Applied Statistics",
M. Carpita, E. Brentari, E.M. Qannari (Hrg.);
Springer International Publishing Switzerland,
2015,
S. 219
- 226.
K. Hron, P. Filzmoser:
"Robust diagnostics of fuzzy clustering results using the compositional approach";
in: "Synergies of Soft Computing and Statistics for Intelligent Data Analysis - Advances in Intelligent Systems and Computing",
Springer Verlag Berlin-Heidelberg,
2013,
ISBN: 978-3-642-33041-4,
S. 245
- 253.
K. Hron, P. Filzmoser, M. Templ et al.:
"Robust Regression with Compositional Response: Application to Geosciences";
in: "Mathematics of Planet Earth, Lecture Notes in Earth System Sciences",
herausgegeben von: Instituto Geológico y Minero de España, Madrid, Spain;
Springer Verlag Berlin-Heidelberg,
2014,
ISBN: 978-3-642-32407-9,
S. 87
- 90.
A. Ladenberger, J. Uhlbäck, M. Andersson, C. Reimann, T. Tarvainen, G. Morris, M. Sadeghi, M. Eklund, P. Filzmoser:
"Elemental patterns in agricultural and grazing land soil in Norway, Finland and Sweden: What have we learned from continental scale mapping.";
in: "Chemistry of Europe's Agricultural Soils. Part A: Methodology and Interpretation of the GEMAS Data Set, Geologisches Jahrbuch, Reihe B, Heft 103",
C. Reimann, M. Birke, A. Demetriades, P. Filzmoser, P. O´Connor (Hrg.);
E. Schweizerbart'sche Verlagsbuchhandlung oHG,
Stuttgart,
2014,
ISBN: 978-3-510-96847-3,
S. 235
- 251.
M. Landauer, M. Wurzenberger, F. Skopik, G. Settanni, P. Filzmoser:
"Time series analysis: Unsupervised anomaly detection beyond outlier detection";
in: "Information Security Practice and Experience",
C. Su, H. Kikuch (Hrg.);
Springer,
2018,
S. 16
- 36.
G. Monti, P. Filzmoser:
"High-dimensional regression with compositional covariates: a robust perspective";
in: "Book of Short Papers SIS 2020",
A. Pollice, N. Salvati, F. Schirripa Spagnolo (Hrg.);
Pearson,
London,
2020,
ISBN: 9788891910776,
S. 105
- 110.
R. Reimann, M. Birke, P. Filzmoser:
"Data analysis for urban geochemical data";
in: "Mapping the Chemical Environment of Urban Areas",
C. C. Johnson, A. Demetriades, J. Locutura, R. T. Ottesen (Hrg.);
John Wiley & Sons,
Chichester, West Sussex, UK,
2011,
ISBN: 978-0-470-74724-7,
S. 99
- 115.
C. Rieser, P. Filzmoser:
"Outlier detection for pandemic-related data using compositional functional data analysis";
in: "Pandemics: Insurance and Social Protection",
M. Boado-Penas, J. Eisenberg, S. Sahin (Hrg.);
Springer Nature Switzerland AG,
Cham,
2021,
ISBN: 978-3-030-78333-4,
S. 251
- 266.
M. Templ, K. Hron, P. Filzmoser:
"robCompositions: an R-package for robust statistical analysis of compositional data";
in: "Compositional Data Analysis: Theory and Applications",
John Wiley & Sons,
2011,
ISBN: 978-0-470-71135-4,
S. 341
- 355.
V. Todorov, P. Filzmoser:
"Comparing classical and robust sparse PCA";
in: "Synergies of Soft Computing and Statistics for Intelligent Data Analysis - Advances in Intelligent Systems and Computing, 190 AISC",
Springer Verlag Berlin-Heidelberg,
2013,
ISBN: 978-3-642-33041-4,
S. 283
- 291.
K. Varmuza, P. Filzmoser:
"Chapter 2: Repeated Double Cross Validation (rdCV) - A Strategy for Optimizing Empirical Multivariate Models, and for Comparing Their Prediction Performances";
in: "Current Applications of Chemometrics",
M. Khanmohammadi (Hrg.);
Nova Science Publishers,
2015,
ISBN: 978-1-63463-117-4,
S. 15
- 32.
J. Walach, K. Hron, P. Filzmoser:
"Data normalization and scaling: Consequences for the analysis in omics sciences";
in: "Comprehensive Analytical Chemistry. Data Analysis for Omics Sciences: Methods and Applications",
J. Jaumot, C. Bedia, R. Tauler (Hrg.);
Elsevier,
2018,
ISBN: 978-0-444-64044-4,
S. 165
- 196.
A. Wurl, A. Falkner, P. Filzmoser, A. Haselböck, A. Mazak, S. Sperl:
"A comprehensive prediction approach for hardware asset management. In: C. Quix, J. Bernardino (eds): Data Management Technologies and Applications";
in: "DATA 2018. Communications in Computer and Information Science",
862;
Springer Nature Schwitzerland AG 2019,
2019,
S. 26
- 49.
A. Wurl, A. Falkner, A. Haselböck, A. Mazak, P. Filzmoser:
"Exploring robustness in a combined feature selection approach.";
in: "DATA 2019, Proceedings of the 8th International Conference on Data Science, Technology and Applications",
1;
Scitepress - Science and Technology Publications, LDA.,
Portugal,
2019,
ISBN: 978-989-758-377-3,
S. 84
- 91.
Beiträge in Tagungsbänden
S. Aivazian, P. Filzmoser, Y. Kharin:
"Greetings from the Programm Committee Co-Chairs";
in: "Computer Data Analysis and Modeling - Theoretical and Applied Stochastics / Proceedings of the Tenth International Conference Minsk, September 10-14, 2013",
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.);
Publishing center BSU, Minsk,
2013,
ISBN: 978-985-553-138-9,
S. 5
- 6.
M. Bögl, W. Aigner, P. Filzmoser, T. Gschwandtner, T. Lammarsch, S. Miksch, A. Rind:
"Integrating Predictions in Time Series Model Selection";
in: "EuroVA 2015 EuroVis Workshop on Visual Analytics",
J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, H. Carr (Hrg.);
herausgegeben von: Cagliari, Italy May 25-26, 2015;
Eurographics Association,
2015,
ISBN: 978-3-905674-86-6,
S. 73
- 78.
P. Filzmoser:
"A multivariate outlier detection method";
in: "Proceedings of the Seventh International Conference on Computer Data Analysis and Modeling",
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.);
Belarusian State University,
2004,
S. 18
- 22.
P. Filzmoser, H. Fritz:
"Exploring High-dimensional Data with Robust Principal Components";
in: "Proceedings of the Eighth International Conference Computer Data Analysis and Modeling",
Publishing center BSU, Minsk,
2007,
ISBN: 978-985-476-508-2,
S. 43
- 50.
P. Filzmoser, G.A. Janauer, N. Exler:
"A statistical method for finding indicators of water quality";
in: "How to assess and monitor ecological quality in freshwaters",
M. Ruoppa, P. Heinonen, A. Pilke, S. Rekolainen, H. Toivonen, H. Vuoristo (Hrg.);
Nordic Council of Ministers,
Copenhagen,
2003, (eingeladen),
S. 19
- 23.
L. Grad-Gyenge, P. Filzmoser:
"Recommendation Techniques on a Knowledge Graph for Email Remarketing";
in: "eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management",
1;
herausgegeben von: IARIA;
IARIA,
Venice, Italy,
2016,
ISBN: 978-1-61208-472-5,
S. 51
- 56.
L. Grad-Gyenge, P. Filzmoser:
"The paradigm of relatedness";
in: "Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing",
263;
W. Abramowicz, R. Alt, B. Franczyk (Hrg.);
herausgegeben von: BIS;
Springer,
Cham,
2017,
ISSN: 1865-1348,
S. 57
- 68.
G.A. Janauer, P. Filzmoser, H. Otahelova, A. Gaberscik, J. Topic, A. Berczik, R. Igic, V. Vulchev, A. Sarbu, A. Kohler, N. Exler:
"Macrophyte Habitat Preference, River Restoration, and the WFD: making use of the MIDCC data base";
in: "Proceedings 36th International Conference of IAD",
Austrian Committee Danube Research/IAD,
Wien,
2006,
ISBN: 978-3-9500723-2-7,
S. 81
- 85.
G.A. Janauer, E. Lanz, P. Filzmoser, N. Exler:
"Breg and Brigach, source streams of the Danube: changes based on macrophyte surveys 1967, 1989, and 2004";
in: "Proceedings 36th International Conference of IAD",
Austrian Committee Danube Research/IAD,
Wien,
2006,
ISBN: 978-3-9500723-2-7,
S. 86
- 90.
H. Katschnig, G. Endel, F. Endel, P. Filzmoser, B. Weibold:
"Identifying psychiatric patients' pathways of care by record linkage after pseudonymisation: linking inpatient and outpatient data for the total population of a province of Austria";
in: "Abstract of the IXth ENMESH International Conference",
Society for Psychotherapy Research,
2011,
1 S.
G. Monti, K. Hron, P. Filzmoser, M. Templ:
"Covariance-Based Outlier Detection for Compositional Data with Structural Zeros: Application to Italian Survey of Household Income and Wealth Data";
in: "Dipartimento di Economia, Metodi Quantitativi e Strategie di Impresa",
D. Vita e Pensiero (Hrg.);
herausgegeben von: Vita e Pensiero;
Vita e Pensiero,
2013,
ISBN: 9788834325568.
N. Neykov, P. Filzmoser, R. Dimova, P. Neytchev:
"Mixture of GLMs and the trimmed likelihood methodology";
in: "Compstat 2004, Proceedings in Computational Statistics",
J. Antoch (Hrg.);
Physica-Verlag,
Heidelberg,
2004,
ISBN: 3-7908-1554-3,
S. 1585
- 1592.
M.R. Oliveira, J. Branco, C. Croux, P. Filzmoser:
"Robust redundancy analysis by alternating regression";
in: "Theory and Applications of Recent Robust Methods, Series: Statistics for Industry and Technology",
M. Hubert, G. Pison, A. Struyf, S. Van Aelst (Hrg.);
Birkhäuser,
Basel,
2004,
S. 235
- 246.
C. Reimann, P. Filzmoser, K. Hron:
"Geochemical mapping and CoDa: Problems and Possibilities";
in: "GeoMap Workshop Proceedings",
K. Hron, P. Filzmoser et al. (Hrg.);
Palacký University, Olomouc, Cz,
2014,
ISBN: 978-80-244-4149-8,
S. 47
- 49.
H. Reitner, P. Filzmoser, H. Pirkl:
"Subject to Change: A log-ra! o approach to the geochemistry of stream sediment samples";
in: "GeoMap Workshop Proceedings",
K. Hron, P. Filzmoser et al. (Hrg.);
Palacký University, Olomouc, Cz,
2014,
ISBN: 978-80-244-4149-8,
S. 50
- 52.
A. Sarbu, G.A. Janauer, N. Exler, P. Filzmoser:
"The aquatic vegetation of large Danube river branches in Romania";
in: "Proceedings 36th International Conference of IAD",
Austrian Committee Danube Research/IAD,
Wien,
2006,
ISBN: 978-3-9500723-2-7,
S. 101
- 106.
S. Serneels, C. Croux, P. Filzmoser, P.J. Van Espen:
"The Partial Robust M-approach";
in: "From Data and Information Analysis to Knowledge Engineering",
M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, W. Gaul (Hrg.);
Springer,
Berlin Heidelberg New York,
2006,
ISBN: 3-540-31313-3,
S. 230
- 237.
M. Templ, A. Alfons, P. Filzmoser:
"Robust semi-parametric estimation of social cohesion and poverty indicators";
in: "Proceedings of the 58th ISI Conference in Dublin",
International Statistical Institute,
2011,
2 S.
H. Treiblmaier, P. Filzmoser:
"Benefits from using continuous rating scales in online survey research";
in: "Proceedings of the International Conference on Information Systems",
Association for Information Systems,
2011,
ISBN: 978-0-615-55907-0,
13 S.
Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)
A. Alfons, P. Filzmoser:
"Robust model selection in the social sciences";
Vortrag: 4th CSDA International Conference on Computational and Financial Econometrics,
London;
10.12.2010; in: "Programme and Abstracts: 4th CSDA International Conference on Computational and Financial Econometrics",
(2010),
S. 63.
A. Alfons, S. Kraft, M. Templ, P. Filzmoser:
"Analyse und Visualisierung von EU-SILC Daten in R";
Vortrag: Workshop TU Wien/TU Dresden,
Vorau (eingeladen);
26.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden",
(2008),
S. 6.
A. Alfons, S. Kraft, M. Templ, P. Filzmoser:
"Simulation of population data for complex household surveys";
Vortrag: International Conference on Indicators and Survey Methodology,
Wien;
24.02.2010
- 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology",
(2010),
S. 13.
A. Alfons, M. Templ, P. Filzmoser:
"Contamination models in the R package simFrame for statistical simulation";
Vortrag: Ninth International Conference on Computer Data Analysis and Modeling,
Minsk;
07.09.2010
- 11.09.2010; in: "Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling",
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.);
2
(2010),
S. 178
- 181.
A. Alfons, M. Templ, P. Filzmoser:
"Exploring Microdata with Missing Information";
Vortrag: Workshop on Exploratory Data Analysis and Visualization,
Wien;
27.05.2010
- 28.05.2010; in: "Abstracts of the Workshop on Exploratory Data Analysis and Visualization",
(2010),
S. 11.
A. Alfons, M. Templ, P. Filzmoser:
"On the influence of imputation methods on Laeken indicators: simulations and recommendations";
Vortrag: Conference of European Statisticians,
Neuchatel (eingeladen);
05.10.2009; in: "Proceedings of the Conference of European Statisticians",
Neuchatel
(2009),
9 S.
A. Alfons, M. Templ, P. Filzmoser:
"Robust estimation of social inclusion indicators based on Pareto tail modeling";
Vortrag: Conference on New Techniques and Technologies for Statistics,
Brüssel;
23.02.2011; in: "Proceedings of the NTTS 2011 conference",
(2011),
3 S.
A. Alfons, M. Templ, P. Filzmoser:
"The R package simFrame: An object-oriented approach towards simulation studies in statistics";
Vortrag: useR! 2010,
Gaithersburg (eingeladen);
21.07.2010; in: "Abstracts of Contributed Presentations",
(2010),
S. 13.
A. Alfons, M. Templ, P. Filzmoser, J. Holzer, G. Gonzalez-Rodriguez:
"A comparison of robust methods for Pareto tail modeling in the case of Laeken indicators";
Vortrag: 5th International Conference on Soft Methods in Probability and Statistics,
Oviedo (eingeladen);
29.09.2010; in: "Combining Soft Computing and Statistical Methods in Data Analysis",
C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M. Gil, P. Grzegorzewski, O. Hryniewicz (Hrg.);
(2010),
S. 17
- 24.
M. Bögl, W. Aigner, P. Filzmoser, T. Gschwandtner, T. Lammarsch, S. Miksch, A. Rind:
"Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions";
Vortrag: IEEE VIS 2014 Workshop on Visualization for Predictive Analytics,
Paris, France;
09.11.2014; in: "Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics",
(2014),
4 S.
M. Bögl, W. Aigner, P. Filzmoser, T. Gschwandtner, T. Lammarsch, S. Miksch, A. Rind:
"Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series";
Poster: IEEE Vis 2015,
Chicago, IL, USA;
25.10.2015
- 30.10.2015; in: "Poster Proceedings of the IEEE Visualization Conference 2015",
J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, H. Carr (Hrg.);
(2015),
2 S.
R. Boubela, P. Filzmoser, H Piringer:
"Integration der Statistiksoftware R in die Visualisierungssoftware Bulk Analyzer zur interaktiven Datenanalyse";
Vortrag: Workshop TU Wien/TU Dresden,
Vorau (eingeladen);
26.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden",
(2008),
S. 8.
M. Brandl, P. Filzmoser, C. Hauzenberger et al.:
"Northern Alpine versus Carpatian radiolarites - a case study from the Upper Palaeolithic Krems-Wachtberg site (Lower Austria)";
Poster: CoDaWork 2013,
Vorau;
04.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 16.
P. Brito, P. Filzmoser, K. Hron:
"Statistical analysis of interval compositional data";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5;
S. ##.
S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder:
"Robust and sparse clustering for high-dimensional data";
Vortrag: Conference of the CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS),
Milan, Italy;
13.09.2017
- 15.09.2017; in: "CLADAG 2017 Book of Short Papers",
(2017),
ISBN: 978-88-99459-71-0.
S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder:
"Evaluation of robust PCA for supervised audio outlier detection";
Vortrag: 22nd International Conference on Computational Statistics (COMPSTAT),
Oviedo, Spain;
23.08.2016
- 26.08.2016; in: "Proceeding of 22nd International Conference on Computational Statistics (COMPSTAT)",
(2016),
ISBN: 978-90-73592-36-0;
12 S.
S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder:
"Simulation of Robust PCA for Supervised Audio Outlier Detection";
Vortrag: International Workshop on Simulation,
Vienna;
21.09.2015
- 25.09.2015; in: "Eighth International Workshop on Simulation: Book of Abstracts",
(2015),
ISBN: 978-3-900932-28-2.
L. Crocetti, W. Dorigo, B. Martens, P. Filzmoser:
"Identifying oceanic-atmospheric controls on hydrology using a machine learning approach";
Vortrag: European Geosciences Union, General Assembly 2019 (EGU 2019),
Vienna;
07.04.2019
- 12.04.2019; in: "EGU General Assembly 2019",
Geophysical Research Abstracts,
21
(2019),
ISSN: 1607-7962;
S. EGU2019-13.
S. Donevska, E. Fiserová, P. Filzmoser, K. Hron:
"Covariance-based variable selection for compositional data";
Vortrag: CoDaWork 2013,
Vorau;
06.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 23.
P. Filzmoser:
"A projection algorithm for regression with collinearity";
Vortrag: 8th Conference of the Federation of Classification Societies (IFCS 2002),
Cracow;
15.07.2002
- 19.07.2002; in: "Classification, Clustering, and Data Analysis",
(2002),
S. 227
- 234.
P. Filzmoser:
"Analysis of chemical data from a compositional point of view";
Hauptvortrag: CCM VIII Colloquium Chemometricum Mediterraneum,
Bevagna, Italy (eingeladen);
02.07.2013
- 04.07.2013; in: "VIII Colloquium Chemometricum Mediterraneum",
(2013),
S. 8.
P. Filzmoser:
"Compositional data and R";
Vortrag: CoDaWork 2013,
Vorau;
04.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. ##.
P. Filzmoser:
"Opening Lecture: A Projection-Pursuit Method for Sparse Robust PCA";
Hauptvortrag: CDAM 2013 10th International Conference Computer Data Analysis & Modeling 2013 Theoretical & Applied Stochastics,
Minsk, Weißrussland, Belarus (eingeladen);
11.09.2013
- 14.09.2013; in: "Proceedings of the 10th International Conderence Computer Data Analysis & Modelling 2013",
(2013),
S. ##.
P. Filzmoser:
"R Tools for Robust Statistical Analysis of High-Dimensional Data";
Vortrag: CDAM 2013 10th International Conference Computer Data Analysis & Modeling 2013 Theoretical & Applied Stochastics,
Minsk, Weißrussland, Belarus;
13.09.2013; in: "Proceedings of the 10th International Conderence Computer Data Analysis & Modelling 2013",
(2013),
S. ##.
P. Filzmoser:
"Robust statistics and R";
Vortrag: ICORS 2015 International Conference on Robust Statistics,
Indian Statistical Institute, Kolkata, India (eingeladen);
12.01.2015
- 16.01.2015; in: "International Conference on Robust Statistics - Book of Abstracts",
(2015),
S. ##.
P. Filzmoser:
"Robust Statistics: The Solution to the Heterogeneity Problem";
Vortrag: Goldschmidt 2003,
Kurashiki, Japan (eingeladen);
07.09.2003
- 12.09.2003; in: "Abstracts of the 13th Annual V.M. Goldschmidt Conference",
(2003),
S. 97
- 98.
P. Filzmoser:
"Soft methods in robust statistics";
Vortrag: 5th International Conference on Soft Methods in Probability and Statistics,
Oviedo (eingeladen);
30.09.2010; in: "Combining Soft Computing and Statistical Methods in Data Analysis",
C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M. Gil, P. Grzegorzewski, O. Hryniewicz (Hrg.);
(2010),
S. 273
- 280.
P. Filzmoser, P. Brito, A. Pedro Duarte Silva:
"Outlier detection in interval data";
Vortrag: COMPSTAT 2014 - 21st International Conference on Computational Statistics hosting the 5th IASC World Conference,
Genf;
19.08.2014
- 22.08.2014; in: "Proceedings of COMPSTAT 2014",
M. Gilli, G. Gonzalez-Rodriguez, A. Nieto-Reyes (Hrg.);
(2014),
ISBN: 978-2-8399-1347-8;
S. 11.
P. Filzmoser, C. Croux, H. Fritz:
"Robust sparse PCA in R";
Vortrag: International Conference on Computational Statistics,
Limassol / Cyprus (eingeladen);
28.08.2012
- 31.08.2012; in: "Proceedings COMPSTAT2012",
(2012),
ISBN: 978-90-73592-32-2.
P. Filzmoser, H. Fritz, K. Horn, M. Templ:
"The estimation of missing data in presence of outliers: computational aspects";
Vortrag: Third International Conference on Computational and Financial Econometrics,
Limassol (eingeladen);
29.10.2009
- 31.10.2009; in: "Abstracts of the Third International Conference on Computational and Financial Econometrics (CFE 09) and Second Workshop of the ERCIM Working Group on Computing & Statistics (ERCIM 09)",
(2009),
S. 29.
P. Filzmoser, H. Gieber, B. Liebmann, K. Varmuza:
"Classification Methods Applied to Chemical Data Using the R Library "chemometrics"";
Vortrag: Conferentia Chemometrica 2009,
Siofok,Ungarn;
27.09.2009
- 30.09.2009; in: "Conferentia Chemometrica 2009 Abstract Book",
(2009),
ISBN: 978-963-9319-98-1.
P. Filzmoser, K. Horn:
"Multivariate outlier detection with compositional data";
Vortrag: Ninth International Conference on Computer Data Analysis and Modeling,
Minsk (eingeladen);
07.09.2010
- 11.09.2010; in: "Proceedings of the Ninth International Conference on Computer Data Analysis and Modeling",
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.);
(2010),
S. 45
- 52.
P. Filzmoser, K. Horn:
"Robust methods for compositional data";
Vortrag: COMPSTAT 2010,
Paris (eingeladen);
22.08.2010
- 27.08.2010; in: "Proceedings in Computational Statistics",
G. Saporta, Y. Lechevallier (Hrg.);
(2010),
S. 79
- 88.
P. Filzmoser, K. Hron:
"Robust Factor Analysis";
Hauptvortrag: International Conference on Robust Statistics,
Parma (eingeladen);
16.06.2009; in: "Abstracts of the International Conference on Robust Statistics",
(2009),
S. 51
- 52.
P. Filzmoser, K. Hron:
"Robust Statistical Methods for Compositional Data";
Vortrag: International Conference on Robust Statistics 2008,
Antalya (eingeladen);
08.09.2008; in: "Abstracts of the International Conference On Robust Statistics",
(2008),
S. 37.
P. Filzmoser, K. Hron, M. Templ:
"Discriminant Analysis for Compositional Data and Robust Parameter Estimation";
Vortrag: Olomoucian Days of Applied Mathematics,
Olomouc;
26.01.2011
- 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics",
(2011),
S. 17.
P. Filzmoser, K. Hron, M. Templ:
"Robust compositional data analysis";
Hauptvortrag: CODAWORK'11,
Girona;
09.05.2011; in: "Proceedings of the 4th International Workshop on Compositional Data Analysis",
(2011),
ISBN: 978-84-87867-76-7;
S. 4.
P. Filzmoser, K. Joossens, C. Croux:
"Multiple group linear discriminant analysis: robustness and error rate";
Vortrag: Compstat 2006,
Rom (eingeladen);
29.08.2006; in: "Compstat 2006, Proceedings in Computational Statistics",
A. Rizzi, M. Vichi (Hrg.);
Heidelberg
(2006),
ISBN: 3-7908-1708-2;
S. 521
- 532.
P. Filzmoser, B. Liebmann, K. Varmuza:
"Repeated double cross validation";
Vortrag: 11th Scandinavian Symposium on Chemometrics SSC11,
Loen, Norwegen;
08.06.2009
- 11.06.2009; in: "11th Scandinavian Symposium on Chemometrics SSC11 - Book of Abstracts",
(2009),
S. 39.
P. Filzmoser, S. Serneels, C. Croux, P.J. Van Espen:
"Robust Multivariate Methods: The Projection Pursuit Approach";
Vortrag: 29th Annual Conference of the German Classification Society,
Magdeburg;
10.03.2005; in: "From Data and Information Analysis to Knowledge Engineering",
M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nürnberger, W. Gaul (Hrg.);
Berlin Heidelberg New York
(2006),
ISBN: 3-540-31313-3;
S. 270
- 277.
P. Filzmoser, M. Templ:
"Data Analysis with Robust Statistical Methods";
Vortrag: Workshop on Exploratory Data Analysis and Visualization,
Wien;
27.05.2010
- 28.05.2010; in: "Abstracts of the Workshop on Exploratory Data Analysis and Visualization",
(2010),
S. 17.
L. Grad-Gyenge, P. Filzmoser, H. Werthner:
"Recommendations on a Knowledge Graph";
Vortrag: MLRec 2015 : 1st International Workshop on Machine Learning Methods for Recommender Systems,
Vancouver, Kanada;
30.04.2015
- 02.05.2015; in: "MLRec 2015 : 1st International Workshop on Machine Learning Methods for Recommender Systems",
(2015),
S. 13
- 20.
I. Hoffmann, P. Filzmoser, S. Serneels:
"Robust and sparse PLS for binary classification";
Vortrag: ICORS 2015 International Conference on Robust Statistics,
Indian Statistical Institute, Kolkata, India (eingeladen);
12.01.2015
- 16.01.2015; in: "International Conference on Robust Statistics - Book of Abstracts",
(2015),
S. 22
- 23.
K. Hron, P. Filzmoser:
"A Robust Biplot for Compositional Data";
Vortrag: International Conference on Robust Statistics,
Parma;
18.06.2009; in: "Abstracts of the International Conference on Robust Statistics",
(2009),
S. 70
- 71.
K. Hron, P. Filzmoser:
"Elements of robust regression for data with absolute and relative information";
Vortrag: 5th International Conference on Soft Methods in Probability and Statistics,
Oviedo (eingeladen);
30.09.2010; in: "Combining Soft Computing and Statistical Methods in Data Analysis",
C. Borgelt, G. Gonzalez-Rodriguez, W. Trutschnig, M.A. Lubiano, M. Gil, P. Grzegorzewski, O. Hryniewicz (Hrg.);
(2010),
S. 329
- 335.
K. Hron, P. Filzmoser:
"Robuste Biplots für Kompositionsdaten";
Vortrag: Workshop TU Wien/TU Dresden,
Vorau (eingeladen);
25.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden",
(2008),
S. 16.
K. Hron, P. Filzmoser, M. Templ:
"Classical and robust simple random sampling for compositional data";
Vortrag: International Conference on Indicators and Survey Methodology,
Wien;
24.02.2010
- 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology",
(2010),
S. 33.
K. Hron, E. Fiserová, P. Filzmoser, M. Templ:
"On the Interpretation of Orthonormal Coordinates for Compositional Data with Applications";
Vortrag: Olomoucian Days of Applied Mathematics,
Olomouc;
26.01.2011
- 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics",
(2011),
S. 27.
K. Hron, A. Menafoglio, M. Templ, K. Hruzova, P. Filzmoser:
"Simplicial principal component analysis for density functions in Bayes spaces";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5.
K. Hron, M. Templ, P. Filzmoser:
"A Robust Approach for Dealing with Missing Values in Compositional Data";
Vortrag: International Conference on Robust Statistics 2008,
Antalya;
08.09.2008
- 12.09.2008; in: "Abstracts of the International Conference on Robust Statistics 2008",
(2008),
S. 48
- 49.
K. Hron, M. Templ, P. Filzmoser:
"Classical and robust imputation of missing values for compositional data using balances";
Vortrag: CODAWORK'11,
Girona;
09.05.2011
- 13.05.2011; in: "Proceedings of the 4th International Workshop on Compositional Data Analysis",
(2011),
1 S.
K. Hron, M. Templ, P. Filzmoser:
"Exploratory compositional data analysis using the R-package robCompositions";
Vortrag: Ninth International Conference on Computer Data Analysis and Modeling,
Minsk (eingeladen);
07.09.2010
- 11.09.2010; in: "Proceedings of the Ninth International Conference Data Analysis and Modeling",
S. Aivazian, P. Filzmoser, Y. Kharin (Hrg.);
1
(2010),
S. 179
- 186.
A. Kalivodova, K. Hron, P. Filzmoser:
"PLS-DA for metabolomical (compositional) data using the logratio approach";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5;
S. ##.
J. Kehrer, R. Boubela, P. Filzmoser, H Piringer:
"A Generic Model for the Integration of Interactive Visualization and Statistical Computing Using R";
Vortrag: IEEE Conference on Visual Analytics Science and Technology, VAST 2012,
Seattle, WA, USA;
14.10.2012
- 19.10.2012; in: "2012 IEEE Conference on Visual Analytics Science and Technology (VAST)",
(2012),
ISBN: 978-1-4673-4752-5;
S. 233
- 234.
P. Kynčlová, P. Filzmoser, K. Hron:
"Application of T-spaces in modeling compositional time series";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5;
S. ##.
P. Kynčlová, P. Filzmoser, K. Hron:
"Compositional time series: The VAR model";
Poster: CoDaWork 2013,
Vorau;
04.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 39.
B. Liebmann, P. Filzmoser, A. Friedl, K. Varmuza:
"Classical and Robust PLS Regression compared by Repeated Double Cross Validation";
Vortrag: Conferentia Chemometrica 2009,
Siofok,Ungarn;
27.09.2009
- 30.09.2009; in: "Conferentia Chemometrica 2009 Abstract Book",
(2009),
ISBN: 978-963-9319-98-1.
B. Liebmann, R. Todeschini, V. Consonni, P. Filzmoser, K. Varmuza:
"Variable Selection by the LASSO method";
Poster: CAC-2012 - XIII Chemometrics in Analytical Chemistry,
Budapest, Ungarn;
25.06.2012
- 29.06.2012; in: "XIII Chemometrics in Analytical Chemistry",
(2012),
ISBN: 978-963-9970-24-3;
S. 161.
A. Liebminger, L. Seyfang, P. Filzmoser, K. Varmuza:
"A new variable selection method based on all subsets regression";
Poster: 10th Scandinavian Symposium on Chemometrics,
Lappeenranta, Finnland;
11.06.2007
- 15.06.2007; in: "Book of Abstracts",
(2007).
J.A. Martin-Fernandez, K. Hron, M. Templ, P. Filzmoser, J. Palarea-Albaladejo:
"Evaluating the performance of a Bayesian-multiplicative treatment of zeros in compositional data sets";
Vortrag: International Conference on Computational Statistics,
Limassol / Cyprus (eingeladen);
28.08.2012
- 31.08.2012; in: "Proceedings of COMPSTAT2012",
(2012),
ISBN: 978-90-73592-32-2;
S. ##.
M.C. Mert, P. Filzmoser, K. Hron:
"Error propagation of compositional data transformations";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5;
S. ##.
M.C. Mert, P. Filzmoser, K. Hron:
"Sparse principal balances";
Vortrag: CoDaWork 2013,
Vorau/ Österreich;
04.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 44
- 45.
M.C. Mert, P. Filzmoser, K. Hron:
"Sparse Principal Balances for High-Dimensional Compositional Data";
Vortrag: CDAM 2013 10th International Conference Computer Data Analysis & Modeling 2013 Theoretical & Applied Stochastics,
Minsk, Weißrussland, Belarus;
11.09.2013; in: "Proceedings of the 10th International Conderence Computer Data Analysis & Modelling 2013",
Publishing Center of BSU Minsk 2013,
(2013),
S. ##.
D. Miksova, C. Rieser, P. Filzmoser:
"Identification of mineralization in geochemistry based on the spatial curvature of log-ratios";
Vortrag: CDAM 2019,
Minsk, Belarus;
18.09.2019
- 22.09.2019; in: "Identification of mineralization in geochemistry based on the spatial curvature of log-ratios",
(2019),
ISBN: 978-985-566-811-5;
S. 246
- 248.
N. Neykov, P. Filzmoser, P. Neytchev:
"Recent developments in robust fitting of mixtures";
Vortrag: International Conference on Robust Statistics 2008,
Antalya;
08.09.2008; in: "Abstracts of the International Conference on Robust Statistics",
(2008),
S. 74.
N. Neykov, P. Filzmoser, P. Neytchev:
"Robust variable selection in joint modeling of location, scale and shape for high dimensional data through trimming (CS6)";
Vortrag: ICORS2014 - 14th International Conference on Robust Statistics 2014,
Martin-Luther-Universität Halle-Wittenberg, D;
10.08.2014
- 15.08.2014; in: "ICORS14 - Conference Guide & Book of Abstracts",
(2014),
S. 39.
N. Neykov, P. Filzmoser, P. Neytchev:
"Statistical Estimators based on Trimming";
Vortrag: International Conference on Robust Statistics,
Parma;
18.06.2009; in: "Abstracts of the International Conference on Robust Statistics",
(2009),
S. 112.
K. Nordhausen, H. Oja, P. Filzmoser, C. Reimann:
"Blind source separation for spatial compositional data";
Vortrag: ERCIM 2014 - 7th International Conference of the ERCIM WG on Computational and Methodological Statistics,
University of Pisa, Italy;
06.12.2014
- 08.12.2014; in: "CFE-ERCIM 2014 - Book of Abstracts",
(2014),
ISBN: 978-84-937822-4-5;
S. ##.
C. Pascoal, M.R. de Oliviera, R. Valades, P. Filzmoser, P. Salvador, A. Pacheco:
"Robust feature selection and robust PCA for internet traffic anomaly detection";
Vortrag: 31th International Conference on Computer Communications IEEE,
Orlando / Florida;
25.03.2012
- 30.03.2012; in: "Proceedings of the IEEE INFOCOM 2012",
(2012),
ISBN: 978-1-4673-0773-4;
S. 1755
- 1763.
C. Reimann, P. Filzmoser, K. Hron:
"Challenges for CoDa in geochemical practice";
Hauptvortrag: CoDaWork 2013,
Vorau;
06.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 52.
C. Rieser, P. Filzmoser:
"Compositional Data and graph theory";
Vortrag: IES 2022,
Capua;
27.01.2022
- 28.01.2022; in: "IES2022 Proceedings",
(2022).
F. Schroeder, A Braumann, P. Filzmoser, K. Hron:
"Robust variable selection in linear regression with compositional explanatory variables";
Vortrag: CoDaWork 2013,
Vorau;
06.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 55.
S. Serneels, P. Filzmoser, I. Hoffmann, C. Croux:
"Sparse partial robust M regression";
Vortrag: ICORS2014 - 14th International Conference on Robust Statistics 2014,
Martin-Luther-Universität Halle-Wittenberg, D;
10.08.2014
- 15.08.2014; in: "ICORS14 - Conference Guide & Book of Abstracts",
(2014),
S. 24.
L. Seyfang, P. Filzmoser, K. Varmuza:
"Variable selection by all subsets regression and by genetic algorithms";
Poster: Conferentia Chemometrica 2007,
Budapest, Ungarn;
02.09.2007
- 05.09.2007; in: "Proc.of Conferentia Chemometrica",
(2007).
O. Stenzel, K. Varmuza, C. Engrand, L. Ferrière, F. Brandstätter, C. Koeberl, P. Filzmoser, M. Hilchenbach:
"Characterisation of meteoritic samples with the Rosetta Cosima TOF-SIMS laboratory reference model - a covariance approach";
Poster: ACM 2014 - Asteroids, Comets, Meteors,
Helsinki / Finland;
30.06.2014
- 04.07.2014; in: "Asteroids, Comets, Meteors, Book of Abstracts, Helsinki, Finland, 2014 Editors: K. Muinonen, A. Penttilä, M. Granvik, A. Virkki, G. Fedorets, O. Wilkman, T. Kohout",
(2014),
ISBN: 978-952-10-8962-6;
S. ##.
M. Templ, A. Alfons, P. Filzmoser:
"Exploring the multivariate structure of missing values using the R package VIM";
Vortrag: useR! 2009,
Rennes;
08.07.2009
- 10.07.2009; in: "Abstracts of the 5th R useR Conference",
Rennes
(2009),
S. 194.
M. Templ, A. Alfons, P. Filzmoser, J. Holzer:
"Estimation of Social Inclusion Indicators with Bounded Influence of Incomes by Tail Modeling";
Vortrag: Olomoucian Days of Applied Mathematics,
Olomouc;
26.01.2011
- 28.01.2011; in: "Book of Abstracts of the Olomoucian Days of Applied Mathematics",
(2011),
S. 61.
M. Templ, A. Alfons, A. Kowarik, B. Meindl, P. Filzmoser, B. Hulliger, D. Lussmann:
"Visualisation of indicators within the AMELI project";
Vortrag: Conference on New Techniques and Technologies for Statistics,
Brüssel;
23.02.2011; in: "Proceedings of the NTTS 2011 conference",
(2011),
2 S.
M. Templ, P. Filzmoser, K. Hron:
"Analysis of Compositional Data using Robust Methods. The R-Package robCompositions";
Vortrag: CODAWORK'11,
Girona;
09.05.2011
- 13.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing",
(2011).
M. Templ, P. Filzmoser, K. Hron:
"Imputation of item non-responses in compositional data using robust methods";
Vortrag: Conference of European Statisticians,
Neuchatel (eingeladen);
05.10.2009; in: "Proceedings of the Conference of European Statisticians",
Neuchatel
(2009),
11 S.
M. Templ, P. Filzmoser, K. Hron:
"Missing Values in Compositional Data: Imputation and Diagnostics";
Vortrag: 6th International Conference on Computational Management Science,
Genf (eingeladen);
02.05.2009; in: "Abstracts of the 6th International Conference on Computational Management Science",
(2009),
S. 16.
M. Templ, P. Filzmoser, K. Hron:
"Robust Imputation of Missing Values in Compositional Data Using the R-package robCompositions";
Vortrag: NTTS Conference,
Brüssel;
19.02.2009; in: "Proceedings of the NTTS Conference",
(2009).
M. Templ, P. Filzmoser, K. Hron:
"Robustness for Compositional Data Using the R Package robCompositions";
Vortrag: International Conference in Robust Statistics,
Parma (eingeladen);
15.06.2009; in: "Abstracts of the International Conference in Robust Statistics",
(2009),
S. 146
- 147.
M. Templ, K. Hron, P. Filzmoser:
"robCompositions: An R-package for robust statistical analysis of compositional data";
Vortrag: useR! 2010,
Gaithersburg (eingeladen);
21.07.2010; in: "Abstracts of Contributed Presentations",
(2010),
S. 161.
M. Templ, K. Hron, P. Filzmoser et al.:
"The R packages robCompositions and compositionsGUI";
Vortrag: CoDaWork 2013,
Vorau (eingeladen);
04.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. ##.
M. Templ, K. Hron, P. Filzmoser, G. Monti:
"Methods to Detect Outliers in Compositional Data with Structural Zeros";
Vortrag: CoDaWork 2013,
Vorau;
05.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 56.
M. Templ, A. Kovarik, P. Filzmoser, A. Alfons:
"Iterative imputation of complex survey data using robust methods";
Vortrag: International Conference on Indicators and Survey Methodology,
Wien;
24.02.2010
- 26.02.2010; in: "Abstracts of the International Conference on Indicators and Survey Methodology",
(2010),
S. 51.
M. Templ, A. Kowarik, P. Filzmoser:
"Imputation of complex data with R-package VIM: traditional and new methods based on robust estimation";
Vortrag: Conference of European Statisticians,
Ljubljana;
09.05.2011
- 11.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing",
(2011),
10 S.
M. Templ, A. Kowarik, P. Filzmoser:
"Iterative robust model-based Imputation of complex data";
Vortrag: Third International Conference on Computational and Financial Econometrics,
Limassol (eingeladen);
29.10.2009
- 31.10.2009; in: "Abstracts of the Third International Conference on Computational and Financial Econometrics (CFE 09) and Second Workshop of the ERCIM Working Group on Computing & Statistics (ERCIM) 09",
(2009),
S. 29.
M. Templ, G. van den Boogaart, J. Eichler, P. Filzmoser, K. Hron, R. Tolosana-Delgado:
"Software compositionsGUI";
Vortrag: CoDaWork 2013,
Vorau (eingeladen);
04.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. ##.
V. Todorov, P. Filzmoser:
"An Object Oriented Framework for Robust Multivariate Analysis in R";
Vortrag: International Conference on Robust Statistics 2008,
Antalya;
11.09.2008; in: "Abstracts of the International Conference On Robust Statistics",
(2008),
S. 100.
V. Todorov, P. Filzmoser:
"Robuste multivariate Analyse in R";
Vortrag: Workshop TU Wien/TU Dresden,
Vorau (eingeladen);
25.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden",
(2008),
S. 27.
V. Todorov, M. Templ, P. Filzmoser:
"Outlier Detection in Survey Data";
Vortrag: Compstat 2008,
Porto;
26.08.2008; in: "Proceedings in Computational Statistics",
Physica-Verlag,
(2008).
V. Todorov, M. Templ, P. Filzmoser:
"Outlier detection in survey data using robust methods";
Vortrag: Conference of European Statisticians,
Neuchatel (eingeladen);
05.10.2009; in: "Proceedings of the Conference of European Statisticians",
(2009),
11 S.
V. Todorov, M. Templ, P. Filzmoser:
"Robust Outlier Detection in Survey Data";
Vortrag: International Conference in Robust Statistics,
Parma (eingeladen);
16.06.2009; in: "Abstracts of the International Conference in Robust Statistics",
(2009),
S. 148
- 149.
V. Todorov, M. Templ, P. Filzmoser:
"Software for multivariate outlier detection in survey data";
Vortrag: Conference of European Statisticians,
Ljubljana;
09.05.2011
- 11.05.2011; in: "Proceedings of the Conference of European Statisticians, Work Session on Statistical Data Editing",
(2011),
16 S.
G. van den Boogaart, R. Tolosana-Delgado, K. Hron, M. Templ, P. Filzmoser:
"Compositional regression with unobserved components or below detection limit values";
Vortrag: CoDaWork 2013,
Vorau;
07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 59.
K. Varmuza, P. Filzmoser:
"A Strategy for Estimating the Prediction Performance of Regression Models - Demonstrated on a QSPR Example";
Poster: MATH/CHEM/COMP 2008,
Verbania-Intra, Italien;
10.06.2008
- 13.06.2008; in: "MATH/CHEM/COMP 2008",
(2008).
K. Varmuza, P. Filzmoser:
"Comparison of some Linear Regression Methods - Available in R - for a QSPR Problem";
Poster: 22.CIC Workshop,
Goslar, Deutschland;
09.11.2008
- 11.11.2008; in: "22. CIC- Workshop",
(2008),
S. 96.
K. Varmuza, P. Filzmoser:
"Repeated Double Cross Validation for Estimation of Prediction Errors";
Poster: 4th International Symposium on Computer Applications and Chemometrics in Analytical Chemistry,
Balatonalmadi;
01.09.2008
- 04.09.2008; in: "SCAC - 2008",
(2008).
K. Varmuza, P. Filzmoser, M. Dehmer:
"Statistical evaluation of molecular descriptors used in quantitative-structure-activity relationships";
Poster: Afrodata - First African European Conference on Chemometrics,
Rabat, Marokko;
20.09.2010
- 24.09.2010; in: "Programme and Abstracts",
(2010),
S. 55.
K. Varmuza, P. Filzmoser, M. Hilchenbach, J. Kissel, H. Krüger, J. Silèn:
"Random projection for dimensionality reduction - applied to TOF-SIMS data relevant for future experiments near a comet";
Poster: 12th International Conference on Chemometrics in Analytical Chemistry - CAC 2010,
Antwerpen, Belgien;
18.10.2010
- 21.10.2010; in: "CAC 2010 Book of Abstracts",
(2010),
S. 277.
K. Varmuza, P. Filzmoser, B. Liebmann:
"Random Projection and Projection Pursuit Based PCA Applied to Chemical Data";
Poster: Conferentia Chemometrica 2009,
Siofok,Ungarn;
27.09.2009
- 30.09.2009; in: "Conferentia Chemometrica 2009 Abstract Book",
(2009),
ISBN: 978-963-9319-98-1.
K. Varmuza, P. Filzmoser, B. Liebmann:
"Repeated double cross validation for classification models";
Vortrag: Conferentia Chemometrica 2011,
Sümeg, Ungarn;
18.09.2011
- 21.09.2011; in: "Conferentia Chemometrica 2011",
(2011),
ISBN: 978-963-9970-15-1.
K. Varmuza, B. Liebmann, P. Filzmoser:
"Repeated double cross validation for optimization and evaluation of empirical classifiers";
Poster: CAC-2012 - XIII Chemometrics in Analytical Chemistry,
Budapest, Ungarn;
25.06.2012
- 29.06.2012; in: "XIII Chemometrics in Analytical Chemistry",
(2012),
ISBN: 978-963-9970-24-3;
S. 160.
G. Vezzoli, K. Hron, P. Filzmoser:
"A Statistical Approach to the Reconstruction of Pleistocene Drainage of the Po River Basin";
Vortrag: International Conference on Robust Statistics,
Parma;
17.06.2009; in: "Abstracts of the International Conference on Robust Statistics",
(2009),
S. 155
- 156.
R. Wieser, P. Filzmoser, W. E. Baaske, W. Mader:
"An Application of Robust Variable Selection with many Variables";
Vortrag: International Conference on Robust Statistics 2008,
Antalya;
09.09.2008; in: "Abstracts of the International Conference On Robust Statistics",
(2008),
S. 115.
R. Wieser, P. Filzmoser, W. E. Baaske, W. Mader:
"Anwendung robuster Variablenselektionsverfahren zur Analyse hochdimensionaler Daten";
Vortrag: Workshop TU Wien/TU Dresden,
Vorau (eingeladen);
26.09.2008; in: "Abstracts of the Workshop TU Wien/TU Dresden",
(2008),
S. 32.
J. Zehetgruber, P. Filzmoser, K. Hron, M. Templ et al.:
"Robust multivariate regression with compositional data";
Poster: CoDaWork 2013,
Vorau;
05.06.2013
- 07.06.2013; in: "Proceedings of the 5th International Workshop on Compositional Data Analysis CoDaWork 2013 June 3-7, 2013, Vorau, Austria",
K. Hron, P. Filzmoser, M. Templ (Hrg.);
(2013),
ISBN: 978-3-200-03103-6;
S. 65.
Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag)
A. Alfons, C. Croux, P. Filzmoser:
"A projection-pursuit algorithm for robust maximum correlation estimators";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
A. Alfons, C. Croux, P. Filzmoser:
"Robust maximum correlation based on projection pursuit";
Vortrag: International Conference on Robust Statistics,
Burlington / Vermont / USA (eingeladen);
05.08.2012
- 10.08.2012.
A. Alfons, P. Filzmoser:
"Robust variable selection with application in the social sciences";
Vortrag: Dutch/Flemish Classification Society Spring Meeting,
Antwerpen;
13.05.2011.
A. Alfons, M. Templ, P. Filzmoser:
"Application of the R package simFrame for statistical simulation to EU-SILC";
Vortrag: 4th AMELI Meeting,
Wien (eingeladen);
24.02.2010.
A. Alfons, M. Templ, P. Filzmoser:
"Complex Survey Data Sets: Visualization of Missing Values in R";
Vortrag: Young European Statisticians Workshop,
Eindhoven (eingeladen);
07.10.2008.
A. Alfons, M. Templ, P. Filzmoser:
"Pareto tail modeling for social inclusion indicators";
Vortrag: 6th AMELI Meeting,
Trier (eingeladen);
04.10.2010.
A. Alfons, M. Templ, P. Filzmoser:
"State-of-the-Art and recent developments in Visualisation of Missing Values and Indicators";
Vortrag: 3rd AMELI meeting,
Olten (eingeladen);
05.06.2009.
A. Alfons, M. Templ, P. Filzmoser:
"Text Von Andi";
Vortrag: AMELI Meeting in Wien,
Wien (eingeladen);
23.02.2010.
A. Alfons, M. Templ, P. Filzmoser:
"Visualization Software for EU-SILC Data and Laeken Indicators";
Vortrag: AMELI Meeting,
Wiesbaden (eingeladen);
07.11.2008.
W. E. Baaske, P. Filzmoser, W. Mader, R. Wieser:
"Landwirtschaft als Erfolgsfaktor für Kommunen? Ergebnisse aus Bevölkerungsbefragungen in Bürgerbeteiligungsprozessen";
Vortrag: ÖGA-Jahrestagung 2008,
Wien;
18.09.2008.
W. Berger, H. Piringer, P. Filzmoser, E. Gröller:
"Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction";
Vortrag: EuroVis 2011,
Bergen, Norway;
31.05.2011
- 03.06.2011.
M. Bögl, W. Aigner, P. Filzmoser, T. Gschwandtner, T. Lammarsch, S. Miksch, A. Rind:
"Integrating Predictions in Time Series Model Selection";
Vortrag: The Sixth International EuroVis Workshop on Visual Analytics (EuroVA),
Cagliari, Italy;
25.05.2015
- 26.05.2015.
M. Bögl, W. Aigner, P. Filzmoser, T. Lammarsch, S. Miksch, A. Rind:
"Visual Analytics for Model Selection in Time Series Analysis";
Vortrag: IEEE Conference on Visual Analytics Science and Technology (IEEE VAST),
Atlanta, GA, USA;
18.10.2013.
M. Bögl, P. Filzmoser, T. Gschwandtner, T. Lammarsch, R. Leite, S. Miksch, A. Rind:
"Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction";
Vortrag: Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2017),
Barcelona, Spain;
12.06.2017
- 16.06.2017.
R. Boubela, P. Filzmoser, H Piringer:
"Integrating R into the InfoVis System Visplore";
Vortrag: useR! 2009,
Rennes;
08.07.2009.
R. Boubela, P. Filzmoser, H Piringer:
"Visplore and R: a symbiosis of powerfull visualization and statistical processing";
Vortrag: Young Statisticians Meeting,
Triest (eingeladen);
17.10.2009.
R. Boubela, K. Kalcher, W. Huf, E. Moser, C. Windischberger, P. Filzmoser:
"A highly parallelized statistical analysis of fMRI data in R";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
P. Brito, P. Duarte Silva, P. Filzmoser:
"Robust multivariate analysis of interval data";
Vortrag: SINAPE - Simpósio Nacional de Probabilidade e Estatística - 2016,
Porto Allegre;
24.07.2016
- 29.07.2016.
P. Brito, P. Filzmoser, K. Hron:
"Exploratory data analysis for interval compositional data";
Vortrag: 4th Workshop in Symbolic Data Analysis (SDA 2014),
Taipei, China (eingeladen);
14.06.2014
- 16.06.2014.
S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Zaharieva:
"Finding groups in large and high-dimensional data using a k-means-based algorithm";
Poster: MOVISS - Metabolomic Bio & Data 2017,
Vorau;
20.09.2017
- 23.09.2017.
S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder:
"Grouping and outlier detection using robust sparse clustering";
Vortrag: Olomouc Days of Applied Mathematics (ODAM 2017),
Olomouc;
31.05.2017
- 02.06.2017.
S. Brodinova, M. Zaharieva, P. Filzmoser, T. Ortner, C. Breiteneder:
"Group Detection in the Context of Imbalanced Data";
Vortrag: International Conference COMPUTER DATA ANALYSIS & MODELING,
Minsk, Belarus;
06.09.2016
- 10.09.2016.
P. Christodoulides, P. Filzmoser:
"Hauptebenenanalyse - eine Erweiterung der Hauptkomponentenanalyse";
Vortrag: Österreichische Statistiktage 2002,
Wien;
25.10.2002.
L. Crocetti, W. Dorigo, B. Martens, P. Filzmoser, D. Fernandez-Prieto:
"Impacts of Climatic Oscillations on Mediterranean Hydrology";
Vortrag: ESA Living Planet Symposium 2019,
Milan, Italy;
13.05.2019
- 17.05.2019.
S. de la Rosa de Saa, P. Filzmoser, M. Gil, M.A. Lubiano:
"Fuzzy rating or fuzzy linguistic?";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc, Czech Republic;
14.06.2013.
F. Endel, G. Endel, P. Filzmoser, B. Weibold, H. Katschnig:
"Health service record linkage in a situation of multiple social health insurance institutions: the case of Austria";
Vortrag: SHIP Biennial Conference,
St Andrews;
10.09.2011.
G. Endel, N. Pfeffer, I. Wilbacher, P. Filzmoser, F. Endel, A. Eisl, W. Dorda, G. Duftschmid, W. Grossmann, E. Schober, T. Waldhör:
"Burden of disease of Diabetes Mellitus - consequences for capacity planning";
Vortrag: 9th HTAi Annual Meeting. HTA in Integrated Care for a Patient Centered System,
Bilbao / Spain;
26.06.2012.
H. Filzmoser, P. Filzmoser:
"ErfolgsVision: Ergebnisdarstellung";
Vortrag: Workshop: Erfolgsfaktoren für Gemeinden,
Bad Zell (eingeladen);
26.02.2009.
P. Filzmoser:
"A Multivariate Outlier Detection Method";
Vortrag: Konferenz CDAM (Computer Data Analysis and Modeling),
Minsk (eingeladen);
10.09.2004.
P. Filzmoser:
"A robust method to classify high-dimensional microbiome compositions";
Vortrag: 63rd Session of the International Statistical Institute,
Den Haag (eingeladen);
11.07.2021
- 16.07.2021.
P. Filzmoser:
"A statistical method for finding indicators of water quality";
Vortrag: Symposium on "How to assess and monitor ecological quality in freshwaters,
Helsinki;
24.10.2003.
P. Filzmoser:
"Advanced methods for regression and classi cation, and how to use them in R";
Vortrag: ECO Winter School 2013,
Kalmar, Sweden (eingeladen);
28.02.2013.
P. Filzmoser:
"Advanced methods of classification and regression";
Vortrag: ÖAW AI Summer School 2019,
Ligist (eingeladen);
05.08.2019
- 09.08.2019.
P. Filzmoser:
"An Adaptive Method for Multivariate Outlier Detection";
Vortrag: International Conference on Robust Statistics,
ICORS 2004, Beijing (eingeladen);
13.07.2004.
P. Filzmoser:
"Analysing Multivariate Data: Methods and their Piftalls";
Vortrag: Arsenal Research,
Wien (eingeladen);
11.09.2006.
P. Filzmoser:
"Analyzing Data with Robust Statistical Methods";
Vortrag: VRVis Center,
Vienna (eingeladen);
13.10.2005.
P. Filzmoser:
"Analyzing high-dimensional data, with application to chemometrics";
Vortrag: University of Valladolid,
Spanien (eingeladen);
20.10.2011.
P. Filzmoser:
"Applied Environmental Statistics with Focus on Exploratory Data Analysis";
Vortrag: IASC-ERS Summer School on Computational Aspects in Environmental Statistics,
Pamporovo (eingeladen);
07.09.2009.
P. Filzmoser:
"Buzzword Data Science -- an Overview of Common Methods and their Use in R";
Vortrag: Annual Meeting of the Austrian Actuarial Association,
Wien (eingeladen);
23.05.2019.
P. Filzmoser:
"Choice of influencing factors: Lasso";
Vortrag: BASF: Data Science Compact Course,
Grossraeschen (eingeladen);
24.02.2018
- 26.02.2018.
P. Filzmoser:
"Compositional Data Analysis";
Vortrag: JOCLAD 2019,
Viseu, Portugal (eingeladen);
11.04.2019
- 13.04.2019.
P. Filzmoser:
"Compositional data analysis of geochemical data";
Vortrag: Kick-off Project Meeting,
Espoo, Finalnd (eingeladen);
03.04.2017
- 04.04.2017.
P. Filzmoser:
"Compositional data analysis: Consequences for Chemometrics";
Vortrag: Afrodatat 2012,
Stellenbosch / South Africa (eingeladen);
19.11.2012
- 23.11.2012.
P. Filzmoser:
"Computational statistics: The ATC/ICD project and applications";
Vortrag: Workshop on Innovative Methods for Evidence Based Decision Making in Healthcare,
Vienna (eingeladen);
23.04.2013.
P. Filzmoser:
"Concepts of compositional data analysis";
Vortrag: Seminar at the Institute for Water Quality, Resource and Waste Management,
Vienna (eingeladen);
25.11.2013.
P. Filzmoser:
"Correlation analysis for compositional data";
Vortrag: Meet The Jury Seminar,
Leuven, Belgien (eingeladen);
25.11.2019
- 26.11.2019.
P. Filzmoser:
"Correlation analysis for compositional environmental data";
Vortrag: Deutsche Statistische Woche,
Trier (eingeladen);
10.09.2019
- 13.09.2019.
P. Filzmoser:
"Correlation between variables in compositional data";
Vortrag: EGU - European Geoscience Union, General Assembly 2017,
Vienna;
23.04.2017
- 28.04.2017.
P. Filzmoser:
"Data Quality Issues for Statistical Methods";
Vortrag: 11th Meeting of CEN/TG 230/WG 2,
Wien (eingeladen);
12.06.2007.
P. Filzmoser:
"Defining background: Which statistical method ? Outliers versus extreme values";
Vortrag: Eurosoil 2008,
Wien (eingeladen);
27.08.2008.
P. Filzmoser:
"Dimension reduction of the explanatory variables in (robust) multiple linear regression";
Vortrag: XXII International Seminar on Stability Problems for Stochastic Models and Seminar on Statistical Data Analysis (SDA 2002),
Varna (eingeladen);
25.05.2002
- 31.05.2002.
P. Filzmoser:
"ErfolgsVision: Statistische Methodik";
Vortrag: Workshop: Erfolgsfaktoren für Gemeinden,
Bad Zell (eingeladen);
26.02.2009.
P. Filzmoser:
"Estimators for robust maximum association";
Vortrag: Modern Stochastics: Theory and Applications,
Taras Shevchenko National University of Kyiv, Kiew, Ukraine (eingeladen);
24.05.2018
- 26.05.2018.
P. Filzmoser:
"Exploratory Data Analysis und Visualization with R";
Vortrag: Workshop "R" in Teaching and Empirical Research,
Wien (eingeladen);
16.01.2009.
P. Filzmoser:
"Extremwerte oder Ausreißer";
Vortrag: Seminar of Department of Applied Statistics,
Linz (eingeladen);
16.03.2006.
P. Filzmoser:
"Finding relevant descriptors";
Vortrag: Workshop "Molecular Descriptors",
Wien (eingeladen);
05.12.2011.
P. Filzmoser:
"Garbage in - garbage out: Die Auswirkungen der Datenqualität auf Machine Learning";
Vortrag: Zukunftsfragen des Baubetriebes,
Wien (eingeladen);
18.05.2021.
P. Filzmoser:
"Generalized additive models";
Vortrag: Seminar at the Palacky University,
Olomouc, Czech (eingeladen);
28.04.2014.
P. Filzmoser:
"Identi cation of multivariate outliers in interval data";
Vortrag: Seminar at the Palacky University,
Olomouc, Czech (eingeladen);
29.09.2014.
P. Filzmoser:
"Identifikation multivariater Ausreißer bei Intervalldaten";
Vortrag: Stochastik - Workshop Innsbruck (in Kooperation mit TU Dresden),
Innsbruck (eingeladen);
26.08.2014
- 28.08.2014.
P. Filzmoser:
"Introduction to concepts of robust statistics";
Vortrag: Seminar at the Palacky University,
Olomouc / Czech Republic (eingeladen);
26.11.2012.
P. Filzmoser:
"Introduction to data analysis techniques and the CODA approach";
Vortrag: Short course on Fingerprinting techniques in mineral exploration,
Norwegen (eingeladen);
14.06.2021
- 18.06.2021.
P. Filzmoser:
"Introduction to robust statistics";
Vortrag: Data Science Group of VNR Verlag,
Deutschland (eingeladen);
28.06.2021.
P. Filzmoser:
"k-means clustering for high-dimensional data: a robust and sparse method";
Vortrag: ÖSG Statistiktage,
Wien (eingeladen);
24.10.2019
- 25.10.2019.
P. Filzmoser:
"Konzepte der robusten Statistik mit Anwendungen";
Vortrag: Seminarreihe von VRVis Center,
Wien (eingeladen);
26.05.2004.
P. Filzmoser:
"Linear and non-linear methods for regression and classification";
Vortrag: Workshop at the University of Debrecen,
Hungary (eingeladen);
21.10.2013.
P. Filzmoser:
"Linear methods for regression and classification";
Vortrag: Data Science School, University of Bolzano,
Bozen, Italien (eingeladen);
26.08.2019
- 31.08.2019.
P. Filzmoser:
"Local multivariate outlier identification";
Vortrag: Universität Olomouc,
Seminar, Palacky University, Olomouc, Czech Republic (eingeladen);
26.01.2015.
P. Filzmoser:
"Maße für Assoziation basierend auf Projection Pursuit";
Vortrag: Österreichische Statistiktage 2003,
Wien;
30.10.2003.
P. Filzmoser:
"Measures of Association based on Projection Pursuit";
Vortrag: International Conference on Robust Statistics (ICORS 2003),
Antwerpen (eingeladen);
14.07.2003.
P. Filzmoser:
"Multivariate Outlier Detection and Visualization";
Vortrag: StatGIS 2003: Interfacing Geostatistics, GIS and Spatial Databases,
Pörtschach;
29.09.2003.
P. Filzmoser:
"Multivariate Outlier Detection with Application to Geochemistry";
Vortrag: Seminar of the Department of Statistics, Univ. Toulouse,
Toulouse (eingeladen);
18.11.2005.
P. Filzmoser:
"Multivariate Regression und Klassi kation mit Anwendungen aus der Chemometrie";
Vortrag: Herbstseminar der Wiener Biometrischen Sektion,
Vienna (eingeladen);
21.11.2013.
P. Filzmoser:
"Multivariate statistics using R";
Vortrag: University of Salatiga,
Indonesia (eingeladen);
11.06.2011
- 12.06.2011.
P. Filzmoser:
"Multivariate und robuste Statistik in der Praxis";
Vortrag: Forum Junge Statistik,
Austrian Statistical Society, Vienna (eingeladen);
01.09.2005.
P. Filzmoser:
"Opportunities of compositional data analysis in chemometrics";
Hauptvortrag: CAC 2014 - 14th Conference on Chemometrics in Analytical Chemistry,
Richmond, Virginia (eingeladen);
09.06.2014
- 13.06.2014.
P. Filzmoser:
"Outlier detection in compositional data with structural zeros";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc, Czech Republic;
14.06.2013.
P. Filzmoser:
"Outlier detection in compositional data: from row-wise to cell-wise";
Vortrag: ISI 2019,
Kuala Lumpur, Malaysia (eingeladen);
18.08.2019
- 23.08.2019.
P. Filzmoser:
"Outlier Detection in Very High Dimension";
Vortrag: University of Liege,
Belgien (eingeladen);
24.11.2006.
P. Filzmoser:
"Outlier Detection with Application to Geochemistry";
Vortrag: The R User Conference 2006,
Wien;
16.06.2006.
P. Filzmoser:
"Outlier Identification and Robust PCA for Compositional Data";
Vortrag: Seminar of the Statistics Department, Belarusian State University,
Minsk (eingeladen);
11.03.2008.
P. Filzmoser:
"Outlier Identification in High Dimensions";
Vortrag: International Conference on Robust Statistics (ICORS 2006),
Lissabon (eingeladen);
06.07.2006.
P. Filzmoser:
"Outliers and compositional data";
Hauptvortrag: IAMG2019,
Pennsylvania, USA (eingeladen);
10.08.2019
- 16.08.2019.
P. Filzmoser:
"Outliers or Extremes";
Vortrag: Seminar of Department of Applied Statistics,
Leuven (eingeladen);
08.02.2006.
P. Filzmoser:
"Package mvoutlier for Multivariate Outlier Detection";
Vortrag: International Workshop on Robust Statistics and R,
Banff (eingeladen);
01.11.2007.
P. Filzmoser:
"Partial Least Squares Regression";
Vortrag: Workshop "Robust Analysis of Large Data Sets",
Banff, Kanada (eingeladen);
17.06.2004.
P. Filzmoser:
"Partial Robust M-Regression";
Vortrag: International Conference on Robust Statistics,
ICORS 2005, Jyväskylä (eingeladen);
16.06.2005.
P. Filzmoser:
"Partial Robust Regression versus Robust Partial Least Squares";
Vortrag: Perspectives in Modern Statistical Inference III,
Mikulov, Czech Republic (eingeladen);
20.07.2005.
P. Filzmoser:
"PCA and beyond";
Vortrag: Seminar for students of the Palacký University,
Velké Losiny (eingeladen);
21.11.2014.
P. Filzmoser:
"PLS for regression and binary classification: robustness and sparsity";
Hauptvortrag: 7th International Chemometrics Research Meeting (ICRM 2017),
Berg en Dal, The Netherlands (eingeladen);
10.09.2017
- 14.09.2017.
P. Filzmoser:
"Potentials of compositional data analysis in practical applications";
Vortrag: CARME 2019,
Stellenbosch, Südafrika (eingeladen);
04.02.2019
- 06.02.2019.
P. Filzmoser:
"Projection Pursuit Algorithms for Robust Multivariate Methods";
Vortrag: Robust Classification and Discrimination with High Dimensional Data,
Florenz (eingeladen);
27.01.2006.
P. Filzmoser:
"Regression and Classification Methods for High-dimensional Data";
Vortrag: Seminar at the Palacky University,
Olomouc / Czech Republic (eingeladen);
17.12.2012
- 18.12.2012.
P. Filzmoser:
"Regression and classification methods for high-dimensional data with application to chemometrics";
Vortrag: Conferencias Statistical Robustness,
Oviedo (eingeladen);
17.10.2011.
P. Filzmoser:
"Relativ versus absolut: Eine Einführung in die Analyse von Kompositionsdaten";
Vortrag: AC2T Student Camp,
Vorau (eingeladen);
30.09.2021.
P. Filzmoser:
"Robust and sparse classification in high dimensions";
Vortrag: Seminar presentation,
University of Stellenbosch, Institute of Statistics (eingeladen);
08.02.2019.
P. Filzmoser:
"Robust and sparse estimation methods for high dimensional linear and logistic regression";
Hauptvortrag: Workshop devoted to the 60th birthday of Peter Rousseeuw,
Leuven. Belgium (eingeladen);
31.05.2017
- 02.06.2017.
P. Filzmoser:
"Robust and sparse estimation methods for linear and logistic regression in high dimensions";
Vortrag: Seminar at the Department of Finance, Accounting and Statistics, Wirtschaftsuniversitaet Wien,
WU Wien (eingeladen);
15.06.2018.
P. Filzmoser:
"Robust and sparse estimation methods for linear and logistic regression in high dimensions";
Hauptvortrag: DMS-2019,
Van, Turkey (eingeladen);
26.06.2019
- 29.06.2019.
P. Filzmoser:
"Robust and sparse k-means clustering for high.dimensional data";
Vortrag: CDAM 2019,
Minsk, Belarus (eingeladen);
18.09.2019
- 22.09.2019.
P. Filzmoser:
"Robust dimension reduction for high-dimensional data";
Vortrag: Universität Olomouc,
Seminar at the Palacky University (eingeladen);
04.02.2013.
P. Filzmoser:
"Robust elastic net (logistic) regression for high dimensional data";
Hauptvortrag: Visual Data Science and its role in Computational Medicine,
TU Delft (eingeladen);
06.02.2018.
P. Filzmoser:
"Robust estimation of the parameters in the FANOVA model";
Vortrag: Instituto Superior Tecnico Lisbon,
Lissabon (eingeladen);
28.10.2002
- 03.11.2002.
P. Filzmoser:
"Robust estimators of maximum association";
Vortrag: ISOR Colloquium at University of Vienna,
University of Vienna (eingeladen);
19.11.2018.
P. Filzmoser:
"Robust Exploratory Factor Analysis as a Reliable Statistical Tool in IS Research";
Vortrag: KIMEP International Research Conference,
Almaty;
24.04.2009.
P. Filzmoser:
"Robust factor analysis";
Vortrag: International Conference on Robust Statistics,
ICORS 2002, Vancouver (eingeladen);
10.05.2002
- 18.05.2002.
P. Filzmoser:
"Robust factor analysis and extended models";
Vortrag: Institut für Angewandte Mathematik, Masaryk Universität, Brno,
Brno (eingeladen);
11.03.2003.
P. Filzmoser:
"Robust fitting of additive and multiplicative models";
Vortrag: Universite Libre de Bruxelles,
Bruxelles (eingeladen);
01.07.2002
- 07.07.2002.
P. Filzmoser:
"Robust fitting of mixtures: The approach based on the Trimmed Likelihood Estimator";
Vortrag: The 32nd Annual Conference of the German Classification Society,
Hamburg;
18.07.2008.
P. Filzmoser:
"Robust linear and logistic regression in high dimension";
Vortrag: Seminar at the Center for Medical Statistics, Informatics, and Intelligent Systems,
MedUni Wien (eingeladen);
18.06.2018.
P. Filzmoser:
"Robust Linear Regression for Compositional Data";
Vortrag: ICORS 2013 International Conference on Robust Statistics,
Saint Petersburg, Russia;
08.07.2013.
P. Filzmoser:
"Robust logistic zero-sum regression for compositional data";
Vortrag: Online Conference Data Science, Statistics & Visualization (DSSV) 2021,
Rotterdam (eingeladen);
07.07.2021
- 09.07.2021.
P. Filzmoser:
"Robust maximum association estimators";
Vortrag: Forecasting from Complexity,
University of Minnesota, Minneapolis, USA (eingeladen);
23.04.2018
- 27.04.2018.
P. Filzmoser:
"Robust maximum association estimators";
Vortrag: International Conference on Robust Statistics (ICORS 2018),
KU Leuven, Belgien (eingeladen);
02.07.2018
- 06.07.2018.
P. Filzmoser:
"Robust multivariate methods for compositional data";
Vortrag: DAGStat 2010,
Dortmund (eingeladen);
23.03.2010
- 26.03.2010.
P. Filzmoser:
"Robust multivariate methods for high-dimensional data";
Vortrag: Chemometrics in Analytical Chemistry (CAC 2010),
Antwerpen (eingeladen);
20.10.2010.
P. Filzmoser:
"Robust PCA for Flat Data";
Vortrag: International Workshop on Computational and Financial Econometrics,
Genf (eingeladen);
20.04.2007.
P. Filzmoser:
"Robust Principal Components";
Vortrag: Jubilee International Conference 60 years Institute of Mathematics and Informatics, Bulgarian Academy of Sciences,
Sofia (eingeladen);
08.07.2007.
P. Filzmoser:
"Robust regression and classification methods for high-dimensional data";
Vortrag: Predictive Analytics Konferenz,
Wien (eingeladen);
01.10.2019
- 02.10.2019.
P. Filzmoser:
"Robust sparse principal component analysis";
Vortrag: Statistische Tage 2011,
Graz;
08.09.2011.
P. Filzmoser:
"Robust statistical methods for high-dimensional data";
Vortrag: Isi Wsc World Statistics Congress 2015,
Rio de Janeiro, Brazil (eingeladen);
26.07.2015
- 31.07.2015.
P. Filzmoser:
"Robust statistics: a clever approach for using the useful data information";
Vortrag: 4th International Symposium on Computer Applications and Chemometrics in Analytical Chemistry,
Balatonalmadi;
01.09.2008.
P. Filzmoser:
"Robust statistics: Concepts, methods, applications, and computation";
Vortrag: SEAMS-GMU 2011 International Conference on Mathematics and Its Applications,
Yogyakarta (eingeladen);
12.06.2011
- 15.06.2011.
P. Filzmoser:
"Robust Statistics: Concepts, Methods, Applications, and Software";
Vortrag: COST Spring School,
Mieres (eingeladen);
19.05.2009.
P. Filzmoser:
"Robust statistics: theoretical and practical considerations";
Vortrag: Seminar for students of the Palacký University, Dolni Morava,
Cz (eingeladen);
16.11.2014.
P. Filzmoser:
"Robust statistics: Theory and practice";
Vortrag: Summer School System Simulation Computational Complex Systems,
Bad Fischau (eingeladen);
28.05.2016
- 01.06.2016.
P. Filzmoser:
"Robust variable selection in linear regression with compositional explanatory variables";
Vortrag: Seminar at the University of Geneve,
Genf, Schweiz (eingeladen);
19.04.2013.
P. Filzmoser:
"Robuste Faktorenanalyse und erweiterte Modelle";
Vortrag: Institut f. Ökonometrie, Operations Research und Systemtheorie,
TU-Wien (eingeladen);
12.05.2003.
P. Filzmoser:
"Robuste Schätzung am Beispiel von Hauptkomponentenanalyse";
Vortrag: Seminar of the Department of Mathematical Stochastics,
Dresden (eingeladen);
08.06.2007.
P. Filzmoser:
"Robuste Statistik zur Erkennung multivariater Ausreißer";
Vortrag: Wissenwertes aus der Mathematik,
TU Wien (eingeladen);
21.11.2005.
P. Filzmoser:
"Robustness aspects for the statistical analysis related to industrial applications";
Vortrag: International Conference on Mathematical Methods in Economy and Industry (MMEI),
Smolenice (eingeladen);
15.09.2021
- 19.09.2021.
P. Filzmoser:
"Robustness for Compositional Data";
Vortrag: Seminar für Statistik,
Dortmund (eingeladen);
27.11.2007.
P. Filzmoser:
"Robustness for Large Data Sets: New Challenges in High Dimension";
Vortrag: Seminar of the Department of Statistics, Univ. Toulouse I,
Toulouse (eingeladen);
10.01.2007.
P. Filzmoser:
"Robustness in practice";
Vortrag: International Conference of Robust Statistics (ICORS 2016),
Genf (eingeladen);
04.07.2016
- 08.07.2016.
P. Filzmoser:
"Sparse multivariate methods for high-dimensional data";
Vortrag: 7th International Symposium on Computer Applications and Chemometrics in Analytical Chemistry,
Sümeg (eingeladen);
19.09.2011.
P. Filzmoser:
"Sparse multivariate statistical methods for high-dimensional data";
Vortrag: Seminar at the University of Bergen,
Bergen, Norway (eingeladen);
22.11.2013.
P. Filzmoser:
"Sparse regression and classi cation methods for high-dimensional data";
Vortrag: Seminar at the Vienna PhD-School of Informatics,
Technical University Vienna (eingeladen);
07.02.2013.
P. Filzmoser:
"Sparse regression and classification methods for high-dimensional data";
Vortrag: University of Valladolid,
Spanien;
20.10.2011.
P. Filzmoser:
"Spline interpolation";
Vortrag: Seminar at the Palacky University,
Olomouc, Czech (eingeladen);
24.02.2014.
P. Filzmoser:
"Statistical Analysis of Data from the MIDCC Project";
Vortrag: Workshop MIDCC,
Mosonmagyarovar (eingeladen);
11.02.2004.
P. Filzmoser:
"Statistical Analysis of Data from the MIDCC Project, Advanced Statistical Analysis";
Vortrag: Workshop MIDCC,
Mosonmagyarovar (eingeladen);
22.02.2005.
P. Filzmoser:
"Statistical analysis of interval compositional data";
Vortrag: Seminar at the Lisbon University of Technology,
Lisbon, Portugal (eingeladen);
15.05.2014.
P. Filzmoser:
"Statistical data analysis of surface geochemical data including case studies from Finland, Greenland and France";
Vortrag: Online-Konferenz, Abschluss-Meeting UpDeep,
Espoo, Finnland (eingeladen);
24.03.2020
- 27.03.2020.
P. Filzmoser:
"Statistical Methods in Developing Quality Assessment Criteria";
Vortrag: Workshop "What's fishy about the Water Framework Directive?,
Stockholm (eingeladen);
05.03.2004.
P. Filzmoser:
"Statistical Practices for Environmental Monitoring";
Vortrag: 57th Session of the International Statistical Institute,
Durban (eingeladen);
18.08.2009.
P. Filzmoser:
"Statistische Analyse von Kompositionsdaten";
Vortrag: Institut für Statistik,
Graz (eingeladen);
20.11.2009.
P. Filzmoser:
"Stepwise variable selection in robust regression with compositional explanatory variables";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc, Czech Republic;
14.06.2013.
P. Filzmoser:
"Support vector machine";
Vortrag: Seminar at the Palacky University,
Olomouc / Czech (eingeladen);
04.11.2013.
P. Filzmoser:
"Symmetric coordinates for determining pairwise association between compositional parts";
Vortrag: CoDaWork 2017,
Abbadia San Salvatore;
06.06.2017
- 09.06.2017.
P. Filzmoser:
"The "chemometrics" package in R - Application in multivariate calibration and classification";
Vortrag: Chemometrics Workshop,
Wien (eingeladen);
28.06.2010.
P. Filzmoser:
"The log-ratio approach to handle relative information";
Hauptvortrag: JOCLAD 2019,
Viseu, Portugal (eingeladen);
11.04.2019
- 13.04.2019.
P. Filzmoser:
"The log-ratio methodology for compositional data analysis: concepts and applications";
Vortrag: Statistische Woche 2018,
Linz;
11.09.2018
- 14.09.2018.
P. Filzmoser:
"The log-ratio methodology: Major concepts, robustness, and practical use";
Vortrag: International Conference on Computational Statistics (COMPSTAT 2018),
Iasi, Romania (eingeladen);
28.08.2018
- 31.08.2018.
P. Filzmoser:
"The Package pcaPP: PCA by Projection Pursuit";
Vortrag: International Workshop on Robust Statistics and R,
Treviso, Italy (eingeladen);
27.10.2005.
P. Filzmoser:
"The Projection Pursuit Approach for Robust Multivariate Analysis";
Vortrag: ISDS Kolloquium,
University of Vienna (eingeladen);
09.05.2005.
P. Filzmoser:
"Univariate and Multivariate Outlier Detection with Application to Geochemical Data";
Vortrag: RMED'03: Workshop on Robust Modeling of Environmental Data,
Vorau;
09.07.2003.
P. Filzmoser:
"Variable selection in regression models";
Vortrag: Universität Olomouc,
Seminar at the Palacky University, Czech Republic (eingeladen);
08.04.2013.
P. Filzmoser:
"What can Robust Statistics Offer for Practice?";
Vortrag: Geological Survey of Norway,
Trondheim (eingeladen);
27.10.2006.
P. Filzmoser:
"What statistical tool is best?";
Vortrag: Drawing Insights from Complex Data,
TU Wien (eingeladen);
11.04.2018.
P. Filzmoser, S. Brodinova, T. Ortner, C. Breiteneder, M. Rohm:
"Robust and sparse k-means clustering in high dimension";
Vortrag: Seminarvortrag an der JKU Linz,
Linz (eingeladen);
23.01.2020
- 24.01.2020.
P. Filzmoser, S. Brodinova, T. Ortner, C. Breiteneder, M. Rohm:
"Robust k-means-based clustering for high-dimensional data";
Vortrag: International Conference on Robust Statistics (ICORS 2019),
Guayaquil (eingeladen);
28.05.2019
- 31.05.2019.
P. Filzmoser, C. Croux, H. Fritz:
"Robust Sparse Principal Component Analysis";
Vortrag: Austrian Statistical Society,
Vienna (eingeladen);
04.06.2012.
P. Filzmoser, C. Croux, H. Fritz:
"Robust sparse principal component analysis based on projection-pursuit";
Vortrag: International Conference on Robust Statistics in Valladolid,
Spanien (eingeladen);
28.06.2011.
P. Filzmoser, C. Croux, H. Fritz:
"Sparse and robust principal component analysis";
Vortrag: DAGStat 2013,
Dortmund (eingeladen);
20.03.2013.
P. Filzmoser, C. Croux, I. Hoffmann, S. Serneels:
"High-dimensional regression and classification with sparse partial robust M estimation (IPS067)";
Vortrag: Isi Wsc World Statistics Congress 2015,
Rio de Janeiro, Brazil (eingeladen);
26.07.2015
- 31.07.2015.
P. Filzmoser, M. Gschwandtner, V. Todorov:
"Review of sparse methods in regression and classification with application to chemometrics";
Vortrag: Seminar at the National Insitute of Chemistry,
Ljubljana / Slovenia (eingeladen);
01.02.2012.
P. Filzmoser, M. Gschwandtner, V. Todorov:
"Sparse statistical methods: theory, applications, software";
Vortrag: ECO Summer School,
Verona / Italy (eingeladen);
14.06.2012.
P. Filzmoser, I. Hoffmann, S. Serneels, C. Croux, K. Varmuza:
"Sparse and robust PLS for regression and binary classification";
Vortrag: International Conference on Computational Statistics (Compstat 2016),
Oviedo (eingeladen);
23.08.2016
- 26.08.2016.
P. Filzmoser, K. Hron:
"Compositional data analysis: challenges for environment sciences";
Vortrag: University Venice,
Venice / Italy (eingeladen);
13.06.2012.
P. Filzmoser, K. Hron:
"Robuste multivariate Methoden für die Analyse von Kompositionsdaten";
Poster: Workshop TU Dresden - TU Wien,
Dresden (eingeladen);
17.03.2011.
P. Filzmoser, S. Lubbe, M. Templ:
"Strategies to replace high proportions of zeros in compositional data";
Vortrag: Online Conference - 1st Conference on Information Technology and Data Science,
Debrecen (eingeladen);
07.11.2020.
P. Filzmoser, N. Mumic, R. Kostadinova:
"Fraud detection in the digital music industry";
Hauptvortrag: Benford's Law Conference,
Stresa (eingeladen);
10.07.2019
- 12.07.2019.
P. Filzmoser, N. Neykov, P. Neytchev:
"Robust ultrahigh-dimensional variable selection through trimming";
Vortrag: International Conference on Robust Statistics,
Burlington / Vermont / USA (eingeladen);
05.08.2012
- 10.08.2012.
P. Filzmoser, C. Reimann, M. Birke:
"Statistical aspects when analyzing geochemical compositions";
Vortrag: EGU European Geosciences Union General Assembly 2014,
Vienna (eingeladen);
28.04.2014.
P. Filzmoser, C. Reimann, A. Ruiz-Gazen, C. Thomas-Agnan:
"Exploratory Tools for Spatial Multivariate Outlier Detection";
Vortrag: International Conference on Robust Statistics (ICORS 2007),
Buenos Aires (eingeladen);
17.09.2007.
P. Filzmoser, A. Ruiz-Gazen, C. Thomas-Agnan:
"Identification of local multivariate outliers";
Vortrag: Workshop on Statistical Methods for Dependent Data,
Witten / Germany (eingeladen);
29.02.2012.
P. Filzmoser, A. Ruiz-Gazen, C. Thomas-Agnan, C. Reimann:
"Tools for local multivariate outlier detection";
Vortrag: 1st Workshop of the ERCIM Working Group on Computing and Statistics,
Neuchatel (eingeladen);
20.06.2008.
H. Fritz, P. Filzmoser, M. Templ:
"Robust Estimation of Missing Values";
Vortrag: International Workshop on Robust Statistics and R,
Banff (eingeladen);
01.11.2007.
A. Gardlo, K. Hron, M. Templ, P. Filzmoser:
"Imputation of rounded zeros for data from metabolomics";
Vortrag: CoDaWork 2015,
L'Escala;
01.06.2015
- 05.06.2015.
B. Glock, F. Endel, G. Endel, N. Popper, K. Sandholzer, C. Rinner, G. Duftschmid, J. Holl, M. Wagner-Pinter, M.C. Mert, P. Filzmoser:
"How sick is Austria? A decision support framework for different evaluations of the burden of disease within the Austrian population based in different data sources";
Vortrag: International Population Data Linkage Conference 2016,
Swansea;
24.08.2016
- 26.08.2016.
L. Grad-Gyenge, H. Werthner, P. Filzmoser:
"Spreading Activation for Rating Estimation in Recommender Systems";
Poster: The 15th International Conference on Electronic Commerce and Web Technologies (EC-Web 2014),
Munich, Germany;
01.09.2014
- 04.09.2014.
M. Gschwandtner, P. Filzmoser:
"Outlier detection by the use of the regularized MCD estimator";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
M. Gschwandtner, P. Filzmoser:
"Outlier detection in high dimension using regularization";
Vortrag: International Conference on Soft Methods in Probability and Statistics SMPS2012,
Konstanz / Germany;
04.10.2012
- 06.10.2012.
M. Gschwandtner, P. Filzmoser, C. Croux, G. Haesbroeck:
"A robust approach to regularized discriminant analysis";
Vortrag: Statistische Tage 2011,
Graz;
08.09.2011.
J. Gussenbauer, P. Filzmoser, M. Templ, O. Dupriez:
"Robust Statistical Methods for Outlier Detection with Application to Household Expenditure Data";
Vortrag: Statistiktage 2015,
Wien;
26.10.2015
- 28.10.2015.
I. Hoffmann, F. Brandstätter, C. Engrand, L. Ferrière, P. Filzmoser, M. Hilchenbach, C. Koeberl, K. Varmuza:
"Meteorite classification by TOF-SIMS-chemometrics";
Poster: 27th Mass Spec Forum Vienna,
Vienna, Austria;
23.02.2016
- 24.02.2016.
I. Hoffmann, P. Filzmoser, C. Croux:
"Robust and sparse classification by the optimal scoring approach";
Vortrag: International Conference of the ERCIM WG on Computational and Methodological Statistics,
Seville, Spain;
09.12.2016
- 11.12.2016.
I. Hoffmann, P. Filzmoser, C. Croux:
"Robust and Sparse Multiclass Classification by the Optimal Scoring Approach";
Vortrag: International Conference COMPUTER DATA ANALYSIS & MODELING,
Minsk, Belarus;
06.09.2016
- 10.09.2016.
I. Hoffmann, P. Filzmoser, C. Croux:
"Robust and sparse multiclass classification by the optimal scoring approach";
Vortrag: International Conference on Robust Statistics,
Geneva, Switzerland;
04.07.2016
- 08.07.2016.
I. Hoffmann, P. Filzmoser, S. Serneels:
"Inference for sparse and robust partial least squares regression";
Vortrag: Olomouc Days of Applied Mathematics (ODAM 2017),
Olomouc;
31.05.2017
- 02.06.2017.
K. Hron, P. Filzmoser:
"Classical and robust correlation analysis of compositional data";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
K. Hron, P. Filzmoser:
"Exploring compositional data with the robust compositional biplot";
Vortrag: SIS 2013 - Advances in Latent Variables - Methods, Models and Applications,
Brescia, Italy;
19.06.2013.
K. Hron, P. Filzmoser:
"Linear regression with compositional explanatory variables using the logratio approach";
Vortrag: International Conference of Probability and Statistics,
Smolenice;
05.07.2011.
K. Hron, P. Filzmoser:
"Mathematical elements in robust statistics for CoDa";
Vortrag: Congress of the Spanish Royal Mathematical Society,
Avila (eingeladen);
01.02.2011
- 05.02.2011.
K. Hron, P. Filzmoser:
"Outlier Detection for Compositional Data and Applications to Environmetrics";
Vortrag: TIES 2007, 18th annual meeting of the International Environmetrics Society,
Mikulov;
16.08.2007.
K. Hron, P. Filzmoser:
"Robust diagnostics of fuzzy clustering results using the compositional approach";
Vortrag: International Conference on Soft Methods in Probability and Statistics SMPS2012,
Konstanz / Germany;
04.10.2012
- 06.10.2012.
K. Hron, P. Filzmoser:
"Robust regression for compositional data";
Vortrag: International Conference on Robust Statistics,
Prag;
29.06.2010.
K. Hron, P. Filzmoser, E. Fiserová:
"Correlation analysis for compositional data using classical and robust methods";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc;
12.06.2013.
K. Hron, P. Filzmoser, A. Gardlo:
"Univariate analysis of compositional data using weighted balances";
Vortrag: International Conference on Computational Statistics (Compstat 2016),
Oviedo;
23.08.2016
- 26.08.2016.
K. Hron, P. Filzmoser, M. Templ, G. van den Boogaart, R. Tolosana-Delgado:
"A unified approach to classical and robust regression for compositional data";
Vortrag: 5th International Conference of the ERCIM WG on COMPUTING & STATISTICS,
Oviedo / Spain;
03.12.2012.
K. Hron, M. Templ, P. Filzmoser:
"Exploring outliers in compositional data with structural zeros";
Vortrag: International Conference of the ERCIM WG on Computational and Methodological Statistics,
Seville, Spain;
09.12.2016
- 11.12.2016.
A. Kalidova, K. Hron, M. Templ, P. Filzmoser:
"Replacement of Missing Values and Rounded Zeros in High-Dimensional Compositional Data with Application to Metabolomics";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc;
12.06.2013
- 14.06.2013.
H. Katschnig, F. Endel, G. Endel, B. Weibold, S. Scheffel, P. Filzmoser:
"Dementia and pathways of health service utilisation in Austria: A record linkage study in a country with a fragmented provider payment system";
Vortrag: 22nd Alzheimer Europe Conference,
Vienna;
04.10.2012
- 06.10.2012.
H. Katschnig, G. Endel, F. Endel, P. Filzmoser, B. Weibold:
"Identifying psychiatric patients' pathways of care: linking service use data for psychiatric and non-psychiatric services for the total population of a province of Austria";
Vortrag: SHIP Biennial Conference,
St Andrews;
10.09.2011.
H. Katschnig, G. Endel, F. Endel, P. Filzmoser, B. Weibold:
"Identifying psychiatric patients' pathways through the health care system by record linkage after pseudonymisation";
Vortrag: 26th PCSI annual conference,
München;
17.09.2010.
B. Kavsek, P. Filzmoser:
"PLS - Regression und ihre Anwendungen";
Vortrag: Österreichische Statistiktage 2002,
Wien;
25.10.2002.
S. Kraft, P. Filzmoser, M. Templ:
"Simulation of a Population for the European Living and Income Conditions Survey";
Vortrag: 3rd AMELI meeting,
Olten (eingeladen);
05.06.2009.
S. Kraft, M. Templ, P. Filzmoser:
"Simulation";
Vortrag: AMELI Meeting,
Wiesbaden;
07.11.2008.
F. Kurnaz, I. Hoffmann, P. Filzmoser:
"Robust and sparse estimation methods for high dimensional linear and logistic regression";
Vortrag: ECDA 2017 - IVth European Conference on Data Analysis 2017,
Wroclaw;
27.09.2017
- 29.09.2017.
F. Kurnaz, I. Hoffmann, P. Filzmoser:
"Robust and sparse methods for high-dimensional linear and logistic regression";
Vortrag: MOVISS - Metabolomic Bio & Data 2017,
Vorau;
20.09.2017
- 23.09.2017.
P. Kynčlová, P. Filzmoser, K. Hron:
"How to Model Compositional Time Series from the Official Statistics Chair:";
Vortrag: Österreichische Statistiktage 2013,
Statistik Austria, Wien;
23.10.2013.
P. Kynčlová, P. Filzmoser, K. Hron:
"Vector autoregression for compositiona; time series";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc, Czech Republic;
13.06.2013.
B. Liebmann, R. Todeschini, V. Cansonni, P. Filzmoser, K. Varmuza:
"Variable selection by the LASSO method";
Poster: Conference on Chemometrics in Analytic Chemistry,
Budapest / Hungary;
28.06.2012.
A. Meraner, M. Templ, P. Filzmoser:
"Outlier Detection for Semi-continuous Variables";
Vortrag: AMELI Meeting in Wien,
Wien (eingeladen);
24.02.2010.
M.C. Mert, P. Filzmoser, K. Hron:
"Principal balances with sparse PCA";
Vortrag: ODAM 2013 - Olomoucian Days of Applied Mathematics,
Olomouc, Czech Republic;
12.06.2013.
D. Miksova, P. Filzmoser:
"Estimation values above an upper detection limit in compositional data";
Poster: Data Science, Statistics & Visualization (DSSV) 2018,
Wien;
09.07.2018
- 11.07.2018.
D. Miksova, P. Filzmoser:
"Replacement of values above an upper detection limit in compositions";
Vortrag: IAMG 2018,
Olomouc;
04.09.2018
- 07.09.2018.
D. Miksova, C. Rieser, P. Filzmoser:
"Detection of mineralization using the curvature of log‐ratios";
Vortrag: CoDaWork 2019,
Terrassa;
03.06.2019
- 08.06.2019.
D. Miksova, C. Rieser, P. Filzmoser:
"Identification of mineralization in geochemistry based on the spatial curvature of log-ratio";
Vortrag: Olomoucian Days of Applied Mathematics (ODAM 2019),
Olomouc;
29.05.2019
- 31.05.2019.
G. Monti, K. Hron, P. Filzmoser, M. Templ:
"Covariance-Based Outlier Detection for Compositional Data with Structural Zeros: Application to Italian Survey of Household Income and Wealth Data";
Vortrag: SIS 2013 - Advances in Latent Variables - Methods, Models and Applications,
Brescia, Italy;
21.06.2013.
C. Mühlmann, P. Filzmoser, K. Nordhausen:
"Local Difference Matrices for Spatial Blind Source Separation";
Vortrag: 3rd Conference of the Arabian Journal of Geosciences (CAJG),
Tunisia;
02.11.2020
- 05.11.2020.
N. Neykov, P. Cizek, P. Filzmoser, P. Neytchev:
"Robust quantile regression estimator through trimming";
Vortrag: International Conference on Robust Statistics in Valladolid,
Spanien;
27.06.2011.
N. Neykov, P. Filzmoser, R. Dimova, P. Neytchev:
"Mixture of GLMs and the trimmed likelihood methodology";
Vortrag: Compstat 2004,
Prag;
23.08.2004
- 27.08.2004.
N. Neykov, P. Filzmoser, P. Neytchev:
"Robust estimation in high demensional GLMs through trimming";
Vortrag: Workshop on Statistical Methods for Dependent Data,
Witten / Germany (eingeladen);
27.02.2012.
N. Neykov, P. Filzmoser, P. Neytchev:
"Robust joint modeling of the mean and dispersion through trimming";
Vortrag: International Conference on Robust Statistics,
Prag;
29.06.2010.
T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder:
"Forward Projection for High-Dimensional Data";
Vortrag: International Conference COMPUTER DATA ANALYSIS & MODELING,
Minsk, Belarus;
06.09.2016
- 10.09.2016.
T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder:
"Local projection for outlier detection";
Vortrag: Olomouc Days of Applied Mathematics (ODAM 2017),
Olomouc;
31.05.2017
- 02.06.2017.
T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder, S. Brodinova:
"Guided projections for analysising the structure of high dimensional data";
Vortrag: International Conference of the ERCIM WG on Computational and Methodological Statistics,
Seville, Spain;
09.12.2016
- 11.12.2016.
C. Pascoal, M.R. Oliveira, P. Filzmoser, A. Pacheco, R. Valadas:
"A new approach for variable selection in robust PCA, applied to anomaly detection in internet traffic flows";
Vortrag: International Conference on Robust Statistics in Valladolid,
Spanien;
28.06.2011.
N. Pfeffer, A. Eisl, F. Endel, P. Filzmoser, C. Scholler, A. Weisser:
"Identification of diagnose-related procedure bundles in outpatient care using statistical methods";
Vortrag: 26th PCSI annual conference,
München;
17.09.2010.
C. Reimann, P. Filzmoser:
"Principal Component Analysis (PCA) and Factor Analysis (FA) with geochemical data: problems and possibilities";
Vortrag: Seminar or the Norwegian Geological Survey,
Trondheim (eingeladen);
17.03.2008.
C. Rieser, P. Filzmoser:
"Compositional Trend Filtering";
Vortrag: Online Conference - 1st Conference on Information Technology and Data Science,
Debrecen;
06.11.2020
- 08.11.2020.
C. Rieser, P. Filzmoser:
"Multivariate functional outlier detection for compositions";
Vortrag: Online Conference Data Science, Statistics & Visualization (DSSV) 2021,
Rotterdam;
07.07.2021
- 09.07.2021.
C. Rieser, P. Filzmoser:
"Piecewise smoothing splines";
Vortrag: ÖSG Statistiktage,
Wien;
24.10.2019
- 25.10.2019.
C. Rieser, D. Miksova, P. Filzmoser:
"Detection of mineralization using the second derivative of log‐ratios";
Poster: CoDaWork 2019,
Terrassa;
03.06.2019
- 08.06.2019.
A. Ruiz-Gazen, C. Thomas-Agnan, P. Filzmoser, R. Reimann:
"Exploratory Tools for Spatial Multivariate Outlier Detection";
Vortrag: 6th Spatial Econometrics and Statistics Workshop,
Dijon;
05.06.2007.
F. Schroeder, A Braumann, P. Filzmoser:
"Robust variable selection for linear regression models with compositional data";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
B. Szabo, A. Lehoczky, P. Filzmoser, M. Templ, F. Szentkirályi, R. Pongrácz, T. Ortner, M.C. Mert, B. Czúcz et al.:
"From South to North: flowering phenological responses at different geographical latitudes in 12 European countries";
Poster: European Geosciences Union General Assembly 2014,
Wien;
27.04.2014
- 02.05.2014.
B. Szabo, M. Templ, P. Filzmoser, A. Lehoczky, R. Pongrácz et al.:
"Biogeographical regions and their flowering phenological patterns across Europe";
Vortrag: Phenology 2015,
Kusadasi;
05.10.2015
- 08.10.2015.
M. Templ, A. Alfons, P. Filzmoser:
"Recent Developments in Visualization : Focus on Missing Values and Maps";
Vortrag: AMELI Meeting,
Wiesbaden;
07.11.2008.
M. Templ, A. Alfons, P. Filzmoser:
"Robust Estimation of Income and Social Indicators with Tail Modelling";
Vortrag: Seminar in Applied Mathematics,
Palacky University Olomouc (eingeladen);
27.01.2014.
M. Templ, A. Alfons, P. Filzmoser:
"Robust semi-parametric estimation of economic and social indicators";
Vortrag: 58th Session of the ISI Conference,
Dublin (eingeladen);
26.08.2011.
M. Templ, P. Filzmoser:
"Stability of Cluster Analysis";
Vortrag: The R User Conference 2006,
Wien (eingeladen);
16.06.2006.
M. Templ, P. Filzmoser:
"Visualisation of Missing Values and Robust Imputation in Environmental Surveys";
Vortrag: TIES 2007, 18th annual meeting of the International Environmetrics Society,
Mikulov (eingeladen);
16.08.2007.
M. Templ, P. Filzmoser:
"Visualization and the use of R-Forge for collaborative research projects";
Vortrag: AMELI kick-off meeting,
Neuchatel (eingeladen);
17.04.2008
- 18.04.2008.
M. Templ, P. Filzmoser, C. Reimann:
"Cluster Analysis: Data preparation? Which algorithm? How many clusters?";
Vortrag: Lifestat 2008,
München (eingeladen);
12.03.2008.
M. Templ, P. Filzmoser, C. Reimann:
"Problems and Possibilities of Cluster Analysis: Application on Geochemical Data";
Vortrag: ROeS Seminar 2007,
Bern (eingeladen);
10.09.2007.
M. Templ, J. Gussenbauer, P. Filzmoser, O. Dupriez:
"Outlier detection in complex survey data including semi-continuous components and missing values";
Vortrag: ERCIM 2015,
London (eingeladen);
11.12.2015
- 14.12.2015.
M. Templ, J. Holzer, P. Filzmoser, A. Alfons:
"Robust methods for the estimation of selected Laeken indicators";
Vortrag: 3rd AMELI meeting,
Olten (eingeladen);
04.06.2009.
M. Templ, K. Hron, P. Filzmoser:
"Exploring outliers in compositional data with structural zeros";
Vortrag: CoDaWork 2017,
Abbadia San Salvatore;
06.06.2017
- 09.06.2017.
M. Templ, K. Hron, P. Filzmoser:
"The Problem of Missing Values and Rounded Zeros in Compositional Data";
Vortrag: Joint Statistical Meeting,
Boston, MA, USA (eingeladen);
03.08.2014.
M. Templ, K. Hron, A. Menafoglio, K. Hruskova, P. Filzmoser:
"Simplicial principal component analysis for density functions";
Vortrag: CoDaWork 2015,
L'Escala;
01.06.2015
- 05.06.2015.
M. Templ, A. Kowarik, P. Filzmoser:
"IRMI: An open-source solution for imputation of complex data using robust methods";
Vortrag: European Conference on Quality in Official Statistics 2010,
Helsinki;
05.05.2010.
M. Templ, A. Kowarik, P. Filzmoser, A. Alfons:
"A computational and methodological framework for visualisation and imputation of missing values: the R-package VIM";
Vortrag: Statistische Tage 2011,
Graz;
09.09.2011.
J. Tobin, J. Walach, D. Beer, J. Williams, P. Filzmoser, B. Walczak:
"Untargeted analysis of fermentation process of rooibos tea samples";
Poster: SCC15 2017 - 15th Scandinavian Symposium on Chemometrics,
Naantali, Finland;
19.06.2017
- 22.06.2017.
V. Todorov, P. Filzmoser:
"Comparing classical and robust sparse PCA";
Vortrag: International Conference on Soft Methods in Probability and Statistics SMPS2012,
Konstanz / Germany;
04.10.2012
- 06.10.2012.
V. Todorov, P. Filzmoser:
"Multivariate robust partial M-regression";
Vortrag: ICORS 2013 International Conference on Robust Statistics,
Saint Petersburg, Russia;
08.07.2013.
V. Todorov, P. Filzmoser:
"Robust discrimination in high dimensions";
Vortrag: International Conference on Robust Statistics,
Prag;
29.06.2010.
V. Todorov, P. Filzmoser:
"Robust Statistic for the One-way MANOVA";
Vortrag: TIES 2007, 18th annual meeting of the International Environmetrics Society,
Mikulov;
16.08.2007.
V. Todorov, P. Filzmoser:
"rrcovHD: Moving rrcov to high dimensions";
Vortrag: International Conference on Robust Statistics,
Burlington / Vermont / USA (eingeladen);
05.08.2012
- 10.08.2012.
V. Todorov, P. Filzmoser:
"Sparse and robust methods for discrimination in high dimensions";
Vortrag: Statistische Tage 2011,
Graz;
08.09.2011.
V. Todorov, P. Filzmoser:
"Sparse and robust partial least squares regression";
Vortrag: Statistische Woche 2012,
TU Wien;
18.09.2012
- 21.09.2012.
V. Todorov, P. Filzmoser:
"Sparse and robust partial least squares regression";
Vortrag: 5th International Conference of the ERCIM WG on COMPUTING & STATISTICS,
Oviedo / Spain;
01.12.2012
- 03.12.2012.
V. Todorov, K. Hruzova, K. Hron, P. Filzmoser:
"An R package for robust orthogonal regression for compositional data";
Vortrag: 61ª Reunião Anual da Região Brasileira da Sociedade Internacional de Biometria (RBras 2016),
Salvador;
23.05.2016
- 25.05.2016.
V. Todorov, K. Hruzova, K. Hron, P. Filzmoser:
"Robust orthogonal regression for compositional data in R";
Vortrag: International Conference of Robust Statistics (ICORS 2016),
Genf;
04.07.2016
- 08.07.2016.
V. Todorov, N. Trendafilov, P. Filzmoser:
"Sparse methods for robust discrimination in high dimensions";
Vortrag: International Conference on Robust Statistics in Valladolid,
Spanien;
27.06.2011.
R. Tolosana-Delgado, K. van den Boogaart, P. Filzmoser, K. Hron, M. Templ:
"Compositional regression: an overview";
Vortrag: IAMG2014 - 16th Annual Conference of the International Association for Mathematical Geosciences,
New Delhi;
17.10.2014
- 20.10.2014.
K. Varmuza, D. Baklouti, A. Bardyn, H. Cottin, C. Engrand, P. Filzmoser, N. Fray, M. Hilchenbach, I. Hoffmann, J. Kissel, P. Modica, J. Silén, S. Siljeström, O. Stenzel:
"Comet dust composition explored by chemometric methods using mass spectral data from COSIMA/ROSETTA";
Poster: 15th Scandinavian Symposium on Chemometrics (SSC15),
Naantali;
19.06.2017
- 22.06.2017.
K. Varmuza, F. Brandstätter, H. Cottin, C. Engrand, L. Ferrière, P. Filzmoser, N. Fray, M. Hilchenbach, I. Hoffmann, J. Kissel, C. Koeberl, P. Modica, J. Paquette, O. Stenzel:
"Comet and meteorite particle surface characterization by multi-variate data analyses using TOF‐SIMS data from COSIMA/Rosetta";
Poster: ANAKON 2017, Gesellschaft Deutscher Chemiker,
Tubingen;
03.04.2017
- 06.04.2017.
K. Varmuza, F. Brandstätter, H. Cottin, C. Engrand, L. Ferrière, P. Filzmoser, N. Fray, M. Hilchenbach, I. Hoffmann, J. Kissel, C. Koeberl, P. Modica, J. Paquette, O. Stenzel:
"Elemental surface composition of comet 67P grains (Rosetta) and of carbonaceous chondrite meteorites - characterized by multivariate mass spectral data (COSIMA).";
Poster: EGU 2017, European Geosciences Union General Assembly,
Vienna;
23.04.2017
- 28.04.2017.
K. Varmuza, M. Dehmer, P. Filzmoser:
"Empirical modeling of mass spectral features by molecular descriptors";
Poster: CC 2013 Conferentia Chemometrica 2013,
Sopron / Hungary;
10.09.2013.
K. Varmuza, P. Filzmoser:
"Variable selection and its strict evaluation";
Vortrag: CC 2013 Conferentia Chemometrica 2013,
Sopron / Hungary;
09.09.2013
- 11.09.2013.
K. Varmuza, P. Filzmoser, N. Fray, H. Cottin, S. Merouane, O. Stenzel, J. Kissel et al.:
"Composition of cometary particles versus distance to sun during sample collection - based on multivariate evaluation of mass spectral data (Rosetta/COSIMA).";
Poster: Conferentia Chemometrica 2019,
Karcag, Hungary (eingeladen);
08.09.2019
- 12.09.2019.
K. Varmuza, P. Filzmoser, M. Hilchenbach, J. Kissel, O. Stenzel, S. Merouane, J. Paquette et al.:
"Cometary particle surfaces - characterized by chemometric evaluation of secondary ion mass spectra.";
Poster: FKA20, Conference on Solid State Analysis, 20. Tagung Festkörperanalytik,
Wien;
01.07.2019
- 03.07.2019.
K. Varmuza, P. Filzmoser, I. Hoffmann, M. Hilchenbach, J. Kissel, S. Merouane, J. Paquette, O. Stenzel et al.:
"Mass spectrometry near comet 67P (Rosetta/COSIMA)";
Poster: 29th Mass Spec Forum,
Wien;
20.02.2018
- 22.02.2018.
K. Varmuza, P. Filzmoser, I. Hoffmann, J. Walach, H. Cottin, N. Fray, C. Briois, J. Silén, O. Stenzel, J. Kissel, M. Hilchenbach:
"Significance of variables for discrimination - applied to the search of organic ions in mass spectra measured on cometary particles";
Poster: Conferentia Chemometrica 2017,
Gyöngyös-Farkasmály;
03.09.2017
- 06.09.2017.
K. Varmuza, P. Filzmoser, T. Ortner, M. Hilchenbach, J. Kissel, S. Merouane, H. Cottin et al.:
"One-class classification for the recognition of relevant measurements - applied to mass spectra from cometary and meteoritic particles";
Poster: 16th Scandinavian Symposium on Chemometrics (SSC16),
Nesbru / Oslo;
17.06.2019
- 20.06.2019.
K. Varmuza, E. Rados, C. Herzig, A. Limbeck, E. Pittenauer, G. Allmaier, P. Filzmoser:
"ICP-MS of meteorite samples: Chemometric evaluation of diversity and discrimination.";
Poster: 31st Mass Spec Forum Vienna,
Wien;
25.02.2020
- 26.02.2020.
J. Walach, P. Filzmoser, K. Hron:
"The use of log-ratio methodology in cell-wise diagnostic";
Vortrag: Data Science, Statistics & Visualization (DSSV) 2018,
Wien;
09.07.2018
- 11.07.2018.
J. Walach, P. Filzmoser, K. Hron, S. Kouril:
"Cell-wise outlier diagnostics based on pairwise log-ratios";
Vortrag: Chemometrics in Analytical Chemistry Conference (CAC),
Halifax;
25.06.2018
- 29.06.2018.
J. Walach, P. Filzmoser, K. Hron, B. Walczak:
"A Pairwise Log-Ratio Method for the Identification Biomarkers";
Vortrag: International Conference COMPUTER DATA ANALYSIS & MODELING,
Minsk, Belarus;
06.09.2016
- 10.09.2016.
J. Walach, P. Filzmoser, K. Hron, B. Walczak:
"A Pairwise Log-Ratio Method For The Identification Of Biomarkers";
Vortrag: Xvi Chemometrics In Analytical Chemistry,
Barcelona;
06.06.2016
- 10.06.2016.
J. Walach, P. Filzmoser, K. Hron, B. Walczak, L. Najdekr:
"A new method for variable selection in a two and multi-group case";
Vortrag: ERCIM 2017 - International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017),
London (eingeladen);
16.12.2017
- 18.12.2017.
J. Walach, P. Filzmoser, K. Hron, B. Walczak, L. Najdekr:
"A robust pairwise log-ratio approach for variable selection and cell-wise outlier diagnostics with focus on metabolomic data";
Vortrag: CoDaWork 2017,
Abbadia San Salvatore;
05.06.2017
- 09.06.2017.
J. Walach, P. Filzmoser, K. Hron, B. Walczak, L. Najdekr:
"Cell-wise outlier diagnostics and its use for biomarker identification";
Poster: MOVISS - Metabolomic Bio & Data 2017,
Vorau;
20.09.2017
- 23.09.2017.
J. Walach, P. Filzmoser, K. Hron, B. Walczak, L. Najdekr:
"Variable selection method based on a pairwise log-ratio approach and cell-wise outlier diagnostics";
Vortrag: Olomouc Days of Applied Mathematics (ODAM 2017),
Olomouc;
31.05.2017
- 02.06.2017.
A. Weisser, F. Endel, G. Endel, P. Filzmoser:
"Results of the project ATC-ICD";
Vortrag: 26th PCSI annual conference,
München;
17.09.2010.
R. Wieser, H. Filzmoser, P. Filzmoser, A. Alfons, W. E. Baaske, W. Mader:
"How to improve the Quality of Life in Central European Municipalities";
Vortrag: International Conference on Indicators and Survey Methodology,
Wien;
26.02.2010.
S. Zechner, P. Filzmoser, M. Templ, A. Alfons:
"Visualization of Indicators in R with application to EUSILC";
Vortrag: 4th AMELI Meeting,
Wien (eingeladen);
24.02.2010.
Patente
R. Kostadinova, N. Mumic, P. Filzmoser:
"Method and system to identify irregularities in the distribution of electronic files within provider networks";
Patent: USA,
Nr. 11,068,564 (2021-0073353-A1);
eingereicht: 18.05.2018,
erteilt: 20.07.2021.
Dissertationen (eigene und begutachtete)
A. Alfons:
"On statistical simulation and robust statistics with application to Laeken indicators and quality of life research";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, W. Grossmann;
E107,
2010;
Rigorosum: 29.11.2010.
M. Bögl:
"Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics";
Betreuer/in(nen), Begutachter/in(nen): S. Miksch, P. Filzmoser, C. Turkay, R. Maciejewski;
Technische Universität Wien | Fakultät für Informatik | Institut für Visual Computing and Human-Centered Technology | E193,
2020;
Rigorosum: 27.11.2020.
D. Borchert:
"Data Science Methods to Decrease Experimental Efforts in Quality by Design Tasks";
Betreuer/in(nen), Begutachter/in(nen): C. Herwig, O. Spadiut, P. Filzmoser, N. Kockmann;
Institut für Verfahrenstechnik, Umwelttechnik und Technische Biowissenschaften,
2020;
Rigorosum: 15.09.2020.
S. Brodinova:
"Robust statistical grouping methods for high-dimensional data";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, N. Neykov, A. Mayo-Iscar;
E105,
2017;
Rigorosum: 24.11.2017.
P. Christodoulides:
"Principal Plane Analysis: Introduction Criteria for the Simultaneous Extraction of Principal Planes";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, H. Strelec;
E107,
2003.
H. Fritz:
"Robust Clustering and Dimension Reduction: Methods, Algorithms and Implementation";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, F. Leisch;
E107,
2011.
B. Godsey:
"Probabilistic modeling of high-dimensional and high-throughput biological data";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, F. Frommlet;
E107 Institut für Statistik und Wahrscheinlichkeitstheorie,
2013;
Rigorosum: 28.11.2013.
I. Hoffmann:
"Sparse and robust modeling for high=dimensional data";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, B. Walczak, T. Verdonck;
E105,
2017.
P. Kynčlová:
"Methodological contributions to compositional data analysis";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2016;
Rigorosum: 01/2016.
B. Liebmann:
"Chemometric methods and near-infrared spectroscopy applied to bioenergy production";
Betreuer/in(nen), Begutachter/in(nen): A. Friedl, P. Filzmoser;
Institut für Verfahrenstechnik. Umwelttechnik und Technische Biowissenschaften,
2010;
Rigorosum: 11.10.2010.
M.C. Mert:
"Theoretical and Practical Aspects in Compositional Data Analysis";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, K. Hron;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2016;
Rigorosum: 10.10.2016.
T. Ortner:
"Local projections for high-dimensional data analysis";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, M. Templ, M. Riani;
E105,
2017.
S. Perez-Fernandez:
"ROC curves for multivariate markers: decision rules and visualization.";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, P. Martinez-Camblor, N. Corral-Blanco;
Stochastik und Wirtschaftsmathematik,
2021;
Rigorosum: 05.02.2021.
F. Schroeder:
"Cost sensitive screening methods for binary classification";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, A Futschik, F. Frommlet;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Rigorosum: 19.06.2018.
M. Templ:
"New Developments in Statistical Disclosure Control and Imputation in Official Statistics";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, W. Grossmann;
E107,
2009;
Rigorosum: 11.05.2009.
V. Todorov:
"Multivariate robust statistics";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, F. Leisch;
E107,
2009.
J. Walach:
"Robust log-ratio methods for classifying high-dimensional metabolomics data";
Betreuer/in(nen), Begutachter/in(nen): P. Filzmoser, E. Fiserová, J. Westerhuis;
Institut f. Stochastik und Wirtschaftsmathematik,
2019;
Rigorosum: 19.03.2019.
T. Zahel:
"Data Science Workflows for Biopharmaceutical Manufacturing Process Validation Stage 1";
Betreuer/in(nen), Begutachter/in(nen): C. Herwig, P. Filzmoser, G. Cornelissen;
Institut für Verfahrenstechnik, Umwelttechnik und Technische Biowissenschaften,
2018;
Rigorosum: 14.02.2018.
Diplom- und Master-Arbeiten (eigene und betreute)
S. Aklan:
"Development and Implementation of Statistical Indicators for the Assessment of Brain Tumors";
Betreuer/in(nen): P. Filzmoser, M. Templ;
E107,
2012.
A. Appe:
"Statistical Classification of Multispectral Imaging Data";
Betreuer/in(nen): P. Filzmoser;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheory,
2012;
Abschlussprüfung: 02/2012.
P. Bauer:
"Boosting classifications with imbalanced data";
Betreuer/in(nen): P. Filzmoser;
E105,
2017.
K. Berger:
"Statistical Analysis of Sleep-EEG Data";
Betreuer/in(nen): P. Filzmoser;
E107,
2002.
M. Bögl:
"Visual Analytics for Time Series Analysis";
Betreuer/in(nen): P. Filzmoser, S. Miksch, T. Lammarsch;
Institut für Statistik und Wahrscheinlichkeitstheorie,
2013;
Abschlussprüfung: 28.02.2013.
F. Böhm:
"Neuronale Netze und deren Verhalten bei unbalancierten Daten am Beispiel der Betrugserkennung in der KFZ-Versicherung";
Betreuer/in(nen): P. Filzmoser;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Abschlussprüfung: 16.10.2018.
R. Boubela:
"Integration of Statistical Computing and Interactive Visualization in a Single Framework";
Betreuer/in(nen): P. Filzmoser;
E107,
2010.
R. Brenner:
"Discriminant Analysis Applied to Geochemical Data";
Betreuer/in(nen): P. Filzmoser;
E107,
2003.
W. Dirschmid:
"Mathematische Methoden zeitraffender Lebensdaueranalysen";
Betreuer/in(nen): R. Viertl, P. Filzmoser;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheory,
2012;
Abschlussprüfung: 10.01.2012.
J. Eder:
"Linear mixed models for digital music data.";
Betreuer/in(nen): P. Filzmoser;
Statistics and Mathematical Methods in Economics,
2019;
Abschlussprüfung: 19.06.2019.
C. El-Cheschin:
"Non-negative matrix factorization";
Betreuer/in(nen): P. Filzmoser;
E105,
2017.
H. Fritz:
"Plausibility of databases and the relation to imputation methods";
Betreuer/in(nen): P. Filzmoser;
E107,
2007.
K. Geißler:
"The Synthetic Close-to-reality Employer-Employee Population: Simulation and Benchmarking Statistics";
Betreuer/in(nen): P. Filzmoser, M. Templ;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheorie,
2012;
Abschlussprüfung: 10/2012.
M. Gregorich:
"A comparison of methods for causal inference with a rare binary outcome";
Betreuer/in(nen): P. Filzmoser;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Abschlussprüfung: 02.05.2018.
M. Gregorich:
"Detecting and Understanding Glioblastoma Multiforme Using Convolutional Neural Networks.";
Betreuer/in(nen): P. Filzmoser;
Statistics and Mathematical Methods in Economics,
2019;
Abschlussprüfung: 13.06.2019.
D. Guimaraes:
"Performance of survival models on predictive maintenance of construction machines";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2020;
Abschlussprüfung: 12.02.2020.
S. Hackl:
"Random Forest Klassifikation bei unbalancierten Daten";
Betreuer/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2015;
Abschlussprüfung: 12.10.2015.
G. Heiler:
"Cost-based statistical methods for fraud detection";
Betreuer/in(nen): P. Filzmoser;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Abschlussprüfung: 11.04.2018.
G. Hlavin:
"Evaluation of penalized regression methods in chemometrics";
Betreuer/in(nen): P. Filzmoser;
E107 Institut für Statistik und Wahrscheinlichkeitstheorie,
2013;
Abschlussprüfung: 17.10.2013.
S. Hödlmoser:
"One class classification of longitudinal data";
Betreuer/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2016;
Abschlussprüfung: 01/2016.
I. Hoffmann:
"Linear discriminant analysis for high dimensional data";
Betreuer/in(nen): P. Filzmoser;
E107 Institut für Statistik und Wahrscheinlichkeitstheorie,
2014.
J. Holzer:
"Robust methods for the estimation of selected Laeken indicators";
Betreuer/in(nen): P. Filzmoser;
E107,
2009.
K. Kalcher:
"Meta-regression and Robustness";
Betreuer/in(nen): P. Filzmoser;
E107,
2009.
B. Kavsek:
"Partial Least Squares (PLS) Regression and its Robustification.";
Betreuer/in(nen): P. Filzmoser;
E107,
2002.
D. Kepplinger:
"Discriminant analysis based on robust regularized covariance estimation";
Betreuer/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2015;
Abschlussprüfung: 10.06.2015.
A. Kircher:
"Random Forest for Unbalanced Multiple-Class Classification";
Betreuer/in(nen): P. Filzmoser;
E105,
2017.
F. Klinglmüller:
"Statistical Methods for Class-discovery and Analysis in Gene Expression Profiling Studies";
Betreuer/in(nen): P. Filzmoser;
E107,
2008.
S. Kraft:
"Simulation of a Population for the European Living and Income Conditions Survey";
Betreuer/in(nen): P. Filzmoser;
E107,
2009.
M. Landauer:
"Dynamic Log File Analysis: An Unsupervised Cluster Evolution Approach for Anomaly Detection";
Betreuer/in(nen): P. Filzmoser;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Abschlussprüfung: 11.04.2018.
J. Lehner:
"Analysis and visualization of Vienna's parking enforcement data";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2020;
Abschlussprüfung: 20.01.2020.
A. Litzellachner:
"Detection of temporal patterns and events in time-dependent acceleration data";
Betreuer/in(nen): P. Filzmoser;
E105,
2017.
T. Lumplecker:
"Regression und Diskriminanzanalyse mit R";
Betreuer/in(nen): P. Filzmoser;
E107,
2007.
E. Mair:
"Generalized linear models with compositional data";
Betreuer/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2015;
Abschlussprüfung: 23.11.2015.
J.C. Martinez Avila:
"Statistical Analysis of High Dimensional Biomedical Data";
Betreuer/in(nen): P. Filzmoser;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheory,
2012;
Abschlussprüfung: 09/2012.
M. Mayrhofer:
"Explainable artificial intelligence methods for modeling categorical responses";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 21.10.2021.
A. Meraner:
"Outlier Detection for Semi-continuous Variables";
Betreuer/in(nen): P. Filzmoser, M. Templ;
E107,
2010.
N. Mumic:
"Outlier detection in predictive time series models";
Betreuer/in(nen): P. Filzmoser;
E105 Institut für Stochastik und Wirtschaftsmathematik,
2016;
Abschlussprüfung: 01/2016.
L. Neubauer:
"Robust functional principal component regression";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 19.10.2021.
V. Öllerer:
"Imputation and Prediction of Multivariate Travel Time Data";
Betreuer/in(nen): P. Filzmoser;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheory,
2012;
Abschlussprüfung: 03/2012.
T. Ortner:
"Multivariate statistische Analyse von Gesundheitsdaten österreichischer Sozialversicherungsträger";
Betreuer/in(nen): P. Filzmoser;
E107 Institut für Statistik und Wahrscheinlichkeitstheorie,
2013;
Abschlussprüfung: 28.11.2013.
S. Priselac:
"Outlier-robust logistic regression for imbalanced data";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 21.10.2021.
R. Rentrop:
"Prognose der wirtschaftlichen Entwicklung deutscher Unternehmen mittels Machine Learning";
Betreuer/in(nen): P. Filzmoser;
E105,
2017.
F. Schröder:
"Classification in High-dimensional Feature Spaces";
Betreuer/in(nen): P. Filzmoser;
E107 Institut fuer Statistik und Wahrscheinlichkeitstheory,
2012;
Abschlussprüfung: 09/2012.
L. Seyfang:
"Heuristiken zur Variablenselektion bei hochdimensionalen Daten";
Betreuer/in(nen): P. Filzmoser;
E107,
2008.
B. Steiger:
"Statistical Analysis for Environmental Data with R";
Betreuer/in(nen): P. Filzmoser;
E107,
2007.
M. Templ:
"Cluster Analysis with Application to Data from Geochemistry";
Betreuer/in(nen): P. Filzmoser;
E107,
2003.
T. Trvdic:
"Personalizing the Austrian inflation rate";
Betreuer/in(nen): P. Filzmoser;
Institut f. Stochastik und Wirtschaftsmathematik,
2018;
Abschlussprüfung: 01.03.2018.
S. Zechner:
"Visualization of Indicators in R with Application to EU-SILC";
Betreuer/in(nen): P. Filzmoser, M. Templ;
E107,
2010.
J. Zehetgruber:
"Classical and Robust Regression for Compositional Data Analysis";
Betreuer/in(nen): P. Filzmoser;
E107 Institut für Statistik und Wahrscheinlichkeitstheorie,
2013;
Abschlussprüfung: 12.06.2013.
Wissenschaftliche Berichte
A. Alfons, W. E. Baaske, P. Filzmoser, W. Mader, R. Wieser:
"A context-sensitive method for robust model selection with application to analysing success factors of communities";
Berichts-Nr. CS-2008-6,
2008.
A. Alfons, J. P. Burgard, P. Filzmoser, B. Hulliger, J.-P. Kolb, S. Kraft, R. Münnich, T. Schoch, M. Templ:
"The AMELI simulation study";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP6-D6.1,
2011;
39 S.
A. Alfons, P. Filzmoser, B. Hulliger, J.-P. Kolb, S. Kraft, R. Münnich, M. Templ:
"Synthetic data generation of SILC";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP6-D6.2-3,
2011;
46 S.
A. Alfons, P. Filzmoser, B. Hulliger, B. Meindl, T. Schoch, M. Templ:
"State-of-the-art in visualization of indicators in survey statistics";
Berichts-Nr. CS-2009-4,
2009.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ:
"Generation of synthetic EU-SILC data and simulation";
Berichts-Nr. CS-2009-5,
2009.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ:
"Intermediate report on the data generation mechanism and of the design of the simulation study";
Berichts-Nr. AMELI Project Deliverable 6.1,
2009;
39 S.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ:
"Progress Report WP6-Simulation";
Berichts-Nr. AMELI Project Deliverable 6.1, Part 2,
2009;
4 S.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ:
"Summary of the state-of-the-art in simulation in survey statistics";
Berichts-Nr. AMELI Project Deliverable 6.1, Part1,
2009;
4 S.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ:
"The R package simFrame";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP6-D6.1-3,
2011;
14 S.
A. Alfons, P. Filzmoser, S. Kraft, M. Templ, J.-P. Kolb, R. Münnich:
"Design-based simulations";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP6-D6.1-2,
2011;
9 S.
A. Alfons, P. Filzmoser, A. Meraner, M. Templ:
"Robust distribution fitting";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP4-D4.1-3,
2011;
18 S.
A. Alfons, P. Filzmoser, M. Templ:
"Summary of the State-of-the-art in visualisation of the European Laeken Indicators";
Berichts-Nr. European Commission,FP7-SSH-2007-217322,WP1-D1.1-6,
2011;
16 S.
A. Alfons, P. Filzmoser, M. Templ:
"Summary of the State-of-the-Art in Visualization of the European Laeken Indicators";
Berichts-Nr. AMELI Project Deliverable 8.1, Part 3,
2009;
4 S.
A. Alfons, S. Kraft, P. Filzmoser, M. Templ:
"Progress report on simulation and synthetic data generation for EU-SILC data";
Berichts-Nr. CS-2009-6,
2009.
A. Alfons, S. Kraft, M. Templ, P. Filzmoser:
"Simulation of synthetic population data for household surveys with application to EU-SILC";
Berichts-Nr. CS-2010-1,
2010.
A. Alfons, M. Templ, P. Filzmoser:
"Applications of statistical simulation";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP10-D10.3-2,
2011;
16 S.
A. Alfons, M. Templ, P. Filzmoser:
"Robust semiparametric estimation of economic indicators from survey samples";
Berichts-Nr. CS-2011-5,
2011;
15 S.
A. Alfons, M. Templ, P. Filzmoser:
"simFrame: An object-oriented framework for statistical simulation";
Berichts-Nr. CS-2009-1,
2009.
A. Alfons, M. Templ, P. Filzmoser:
"Simulation of EU-SILC population data using simPopulation";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP10-D10.3-3,
2011;
20 S.
A. Alfons, M. Templ, P. Filzmoser:
"Simulation of EU-SILC population data: using the R package simPopulation";
Berichts-Nr. CS-2010-5,
2010.
A. Alfons, M. Templ, P. Filzmoser, J. Holzer:
"Robust Pareto tail modeling for the estimation of indicators on social exclusion using the R package laeken";
Berichts-Nr. CS-2011-2,
2011;
15 S.
A. Alfons, M. Templ, P. Filzmoser, J. Holzer:
"Robust Pareto tail modeling with package laeken";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP10-D10.3-6,
2011;
19 S.
A. Alfons, M. Templ, P. Filzmoser, J. Holzer:
"Semi-parametric robust estimation";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.2-3,
2011;
19 S.
J. Branco, C. Croux, P. Filzmoser, M.R. Oliveira:
"Robust canonical correlations: a comparative study, TS-03-4";
2003.
S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder:
"Evaluation of Robust PCA for Supervised Audio Outlier Detection";
Berichts-Nr. CS-2015-2,
2015;
18 S.
C. Croux, P. Filzmoser:
"Projection pursuit based mesasures of association, TS-03-3";
2003.
C. Croux, P. Filzmoser, H. Fritz:
"Robust sparse principal component analysis";
Berichts-Nr. SM-2011-2,
2011.
C. Croux, P. Filzmoser, K. Joossens:
"Robust linear discriminant analysis for multiple groups: influence and classification efficiencies, CS-2005-1";
2005.
C. Croux, P. Filzmoser, M.R. Oliveira:
"Projection-pursuit Estimators for Robust Principal Component Analysis, TS-04-4";
2004.
P. Filzmoser:
"Identification of Multivariate Outliers: A Performance Study, TS-04-3";
2004.
P. Filzmoser:
"Linear and nonlinear methods for regression and classification and applications in R";
Berichts-Nr. CS-2008-3,
2008.
P. Filzmoser, H. Filzmoser:
"Ermittlung der Wahrscheinlichkeit einer Nichteinhaltung des Sicherheitsabstandes zwischen Ankerbohrungen, C-2006-4";
2006.
P. Filzmoser, H. Fritz:
"Exploring high-dimensional data with robust principal components";
Berichts-Nr. CS-2007-2,
2007.
P. Filzmoser, R.G. Garrett, C. Reimann:
"Multivariate outlier detection in exploration geochemistry, TS-03-5";
2003.
P. Filzmoser, J. Gussenbauer, M. Templ:
"Detecting outliers in household consumption survey data";
Berichts-Nr. Deliverable 4. Contract with world bank (1157976),
2015;
85 S.
P. Filzmoser, K. Hron:
"Correlation analysis for compositional data";
Berichts-Nr. SM-2008-2,
2008.
P. Filzmoser, K. Hron:
"Outlier detection for compositional data using robust methods";
Berichts-Nr. CS-2007-1,
2007.
P. Filzmoser, K. Hron, C. Reimann:
"Principal component analysis for compositional data with outliers";
Berichts-Nr. SM-2007-3,
2007.
P. Filzmoser, K. Hron, C. Reimann:
"Univariate statistical analysis of environmental data: Problems and possibilities";
Berichts-Nr. SM-2009-2,
2009.
P. Filzmoser, K. Hron, C. Reimann, R.G. Garrett:
"Robust factor analysis for compositional data";
Berichts-Nr. SM-2008-3,
2008.
P. Filzmoser, K. Hron, M. Templ:
"Discriminant analysis for compositional data and robust parameter estimation";
Berichts-Nr. SM-2009-3,
2009.
P. Filzmoser, K. Joossens, C. Croux:
"Multiple group discriminant analysis: Robustness and error rate, CS-2006-1";
2006.
P. Filzmoser, B. Liebmann, K. Varmuza:
"Repeated double cross validation";
Berichts-Nr. CS-2008-4,
2008.
P. Filzmoser, R. Maronna, R. Dimova, M. Werner:
"Outlier identification in high dimensions, CS-2006-3";
2006.
P. Filzmoser, S. Serneels, R. Maronna, P.J. Van Espen:
"Robust multivariate methods in chemometrics";
Berichts-Nr. CS-2007-3,
2007.
P. Filzmoser, M. Templ, J. Gussenbauer:
"Short Overview on Outlier Detection Methods";
Berichts-Nr. Deliverable 1 Contract with world bank (1157976),
2015;
35 S.
P. Filzmoser, V. Todorov:
"Review of robust multivariate statistical methods in high dimension";
Berichts-Nr. SM-2011-1,
2011.
P. Filzmoser, R. Viertl:
"Testing hypotheses with fuzzy data: The fuzzy p-value, RIS-2002-3";
2002.
H. Fritz, P. Filzmoser, C. Croux:
"A comparison of algorithms for the multivariate L1-median";
Berichts-Nr. CS-2010-4,
2010.
M. Graf, A. Alfons, C. Bruch, P. Filzmoser, B. Hulliger, R. Lehtonen, B. Meindl, R. Münnich, T. Schoch, M. Templ, M. Valaste, A. Wenger, S. Zins:
"State-of-the-art of indicators on poverty and social exclusion the Laeken indicators";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP1-D1.1,
2011;
56 S.
I. Hoffmann, S. Serneels, P. Filzmoser, C. Croux:
"Sparse partial robust M-regression";
Berichts-Nr. CS-2015-1,
2015;
20 S.
K. Hron, A. Menafoglio, M. Templ, K. Hruzova, P. Filzmoser:
"Simplicial principal component analysis for density functions in Bayes spaces";
Berichts-Nr. MOX-report 25/2014,
2014;
20 S.
K. Hron, M. Templ, P. Filzmoser:
"Imputation of missing values for compositional data using classical and robust methods";
Berichts-Nr. SM-2008-4,
2008.
B. Hulliger, A. Alfons, C. Bruch, P. Filzmoser, M. Graf, J.-P. Kolb, R. Lehtonen, D. Lussmann, A. Meraner, R. Münnich, M. Myrskylä, D. Nedyalkova, T. Schoch, M. Templ, M. Valaste, A. Veijanen, S. Zins:
"Report on the simulation results";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP7-D7.1,
2011;
160 S.
B. Hulliger, A. Alfons, C. Bruch, P. Filzmoser, M. Graf, J.-P. Kolb, R. Lehtonen, D. Lussmann, A. Meraner, R. Münnich, M. Myrskylä, D. Nedyalkova, T. Schoch, M. Templ, M. Valaste, A. Veijanen, S. Zins:
"Report on the simulation results: Appendix";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP7-D7.1-App,
2011;
875 S.
B. Hulliger, A. Alfons, P. Filzmoser, A. Meraner, T. Schoch, M. Templ:
"R programmes for robust procedures including manual";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.1,
2011;
144 S.
B. Hulliger, A. Alfons, P. Filzmoser, A. Meraner, T. Schoch, M. Templ:
"Robust methodology for Laeken indicators";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.2,
2011;
173 S.
B. Hulliger, T. Schoch, A. Alfons, J. Holzer, P. Filzmoser, A. Meraner, M. Templ:
"WP4: Robustness";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP7-D7.1-10,
2011;
48 S.
B. Hulliger, S. Zechner, M. Templ, P. Filzmoser:
"Evaluation Plots: Revision and extensions";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP8-D8.2-3,
2011;
15 S.
G.A. Janauer, P. Filzmoser:
"Statistical consideration for monitoring macrophytes in lakes according to the water framework directive: Towards minimising the survey effort, TS-03-6";
2003.
Z. Karacsony, P. Filzmoser:
"Asymptotic normality of kernel type regression estimators for random fields";
Berichts-Nr. MS-2008-1,
2008.
B. Liebmann, P. Filzmoser, K. Varmuza:
"Robust and classical PLS regression compared";
Berichts-Nr. CS-2009-8,
2009.
A. Meraner, P. Filzmoser, M. Templ:
"Robust methods for semi-continuous data";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.2-12,
2011.
R. Munnich, S. Zins, A. Alfons, C. Bruch, P. Filzmoser, M. Graf, B. Hulliger, J.-P. Kolb, R. Lehtonen, D. Lussmann, A. Meraner, M. Myrskylä, D. Nedyalkova, T. Schoch, M. Templ, M. Valaste, A. Veijanen:
"Policy Recommendations and Methodological Report";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-217322,WP6-D10-1,
2011;
37 S.
N. Neykov, P. Filzmoser, R. Dimova, P. Neytchev:
"Robust fitting of mixtures using the Trimmed Likelihood Estimator, CS-2006-2";
2006.
M.R. Oliveira, J. Branco, C. Croux, P. Filzmoser:
"Robust Redundancy analysis by alternating regression, TS-03-2";
2003.
C. Reimann, P. Filzmoser, R.G. Garrett:
"Background and threshold - the need for visualisation, TS-03-1";
2003.
S. Serneels, C. Croux, P. Filzmoser, P.J. Van Espen:
"Robust Partial M-Regression, TS-04-2";
2004.
M. Templ, A. Alfons, P. Filzmoser:
"Diagnostic tools for missing values";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP8-D8.2-8,
2011;
17 S.
M. Templ, A. Alfons, P. Filzmoser:
"Tools for visualising data and aggregated information";
Berichts-Nr. CS-2009-3,
2009.
M. Templ, A. Alfons, P. Filzmoser, M. Graf, B. Hulliger, J.-P. Kolb, R. Lehtonen, R. Münnich, D. Nedyalkova, T. Schoch, A. Veijanen, S. Zins:
"R packages plus manual";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP10-D10.3,
2011;
449 S.
M. Templ, P. Filzmoser:
"Visualization of missing values using the R-package VIM";
Berichts-Nr. CS-2008-1,
2008.
M. Templ, P. Filzmoser, R. Reimann:
"Cluster Analysis applied to regional geochemical data: Problems and possibilities, CS-2006-5";
2006.
M. Templ, K. Hron, P. Filzmoser:
"Robust imputation for compositional data";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.2-11,
2011;
14 S.
M. Templ, B. Hulliger, A. Alfons, D. Lussmann, P. Filzmoser:
"Visualisation tools";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP8-D8.2,
2011;
124 S.
M. Templ, A. Kowarik, P. Filzmoser:
"EM-based regression imputation using robust methods";
Berichts-Nr. Europ. Commission,FP7-SSH-2007-21732,WP4-D4.2-8,
2011;
21 S.
M. Templ, A. Kowarik, P. Filzmoser:
"EM-based stepwise regression imputation using standard and robust methods";
Berichts-Nr. CS-2010-3,
2010.
V. Todorov, P. Filzmoser:
"An object-oriented framework for robust multivariate analysis";
Berichts-Nr. CS-2009-7,
2009.
V. Todorov, P. Filzmoser:
"Robust statistic for the one-way MANOVA";
Berichts-Nr. CS-2007-7,
2007.
H. Treiblmaier, P. Filzmoser:
"Benefits from using continuous rating scales in online survey research";
Berichts-Nr. SM-2009-4,
2009.
H. Treiblmaier, P. Filzmoser:
"Exploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research";
Berichts-Nr. SM-2009-5,
2009.
P. van Helvoort, P. Filzmoser, P. van Gaans:
"Sequential factor analysis as a new approach to multivariate analysis of heterogeneous geochemical datasets: an application to a bulk chemical characterization of fluvial deposits (Rhine-Meuse delta, the Netherlands), TS-04-1";
2004.
R. Wieser, P. Filzmoser:
"Anwendung statistischer Verfahren auf einen kommunalen Datensatz";
Berichts-Nr. CS-2008-7,
2008.
Nichttextl. wiss. Veröffentlichungen (gem. Wissensbilanz-VO)
M. Bögl, W. Aigner, P. Filzmoser, T. Lammarsch, S. Miksch, A. Rind:
"Visual Analytics for Model Selection in Time Series Analysis";
Art der Veröffentlichung: you tube,
Projekt: -;
2013.
