Publikationsliste für Angehörige von
E105 - Institut für Stochastik und Wirtschaftsmathematik
E105-06 Computational Statistics
E105-06 (Personen ohne Gruppen-Zuordnung)
als Autorinnen / Autoren bzw. wesentlich beteiligte Personen
2021 - 2022
60 Datensätze
Bücher und Buch-Herausgaben
-
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.
Zeitschriftenartikel
-
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).
-
D. Dolezal, A. Posekany, G. Koppensteiner, L. Vittori, R. Motschnig:
"Learner-Centered Engineering Education as an Incubator of 21st Century Skills";
International Journal of Engineering Education,
6
(2021),
37;
S. 1605
- 1618.
-
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.
-
P. Duarte Silva, P. Brito, P. Filzmoser, J. Dias:
"MAINT.Data: Modelling and Analysing Interval Data in R";
R Journal,
1
(2021).
-
P. Filzmoser, K. Nordhausen:
"Robust linear regression for high-dimensional data: an overview";
WIREs Computational Statistics,
13 (4)
(2021).
-
D. Fischer, A. Berro, K. Nordhausen, A. Ruiz-Gazen:
"REPPLab: Detecting Groups and Outliers Using Exploratory Projection Pursuit";
Communications in Statistics - Simulation and Computation,
50
(2021),
S. 3397
- 3419.
-
K. Hron, G. Coenders, P. Filzmoser, J. Palarea-Albaladejo et al.:
"Analysing Pairwise Logratios Revisited";
Mathematical Geosciences,
53
(2021),
S. 1643
- 1666.
-
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).
-
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.
-
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.
-
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.
-
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.
-
C. Mühlmann, K. Nordhausen, M. Yi:
"On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction";
IEEE Geoscience And Remote Sensing Letters,
18
(2021),
11;
S. 1931
- 1935.
-
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.
-
K. Nordhausen, M Matilainen, J Miettinen, J. Virta, S. Taskinen:
"Dimension Reduction for Time Series in a Blind Source Separation Context Using R";
Journal of Statistical Software,
98
(2021),
S. 1
- 30.
-
T. Ortner, P. Filzmoser, M. Rohm, S. Brodinova, C. Breiteneder:
"Local projections for high-dimensional outlier detection";
METRON,
1
(2021),
79;
18 S.
-
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.
-
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.
-
U. Radojicic, K. Nordhausen, J. Virta:
"Large-sample properties of blind estimation of the linear discriminant using projection pursuit";
Electronic Journal of Statistics,
15
(2021),
2;
S. 6677
- 6739.
-
C. Rieser, P. Filzmoser:
"Compositional trend ltering";
Annales Mathematicae et Informaticae,
53
(2021),
S. 257
- 270.
-
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.
-
M. Sykora, S. Krebs, A. Posekany et al.:
"Intravenous thrombolysis in stroke with admission NIHSS score 0 or 1";
International Journal of Stroke,
17
(2021),
109;
119 S.
-
K. Varmuza, M. Dehmer, F. Emmert-Streib, P. Filzmoser:
"Automorphism groups of alkane graphs";
Croatica Chemica Acta,
94
(2021),
S. 47
- 58.
-
J. Virta, N. Lietzen, P. Ilmonen, K. Nordhausen:
"Fast Tensorial JADE";
Scandinavian Journal of Statistics,
48
(2021),
S. 164
- 187.
-
J. Virta, K. Nordhausen:
"Determining the Signal Dimension in Second Order Source Separation";
Statistica Sinica,
31
(2021),
S. 135
- 156.
Buchbeiträge
-
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, 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.
-
C. Mühlmann, K. Facevicova, A. Gardlo, H. Janeckova, K. Nordhausen:
"Independent Component Analysis for Compositional Data";
in: "Advances in Contemporary Statistics and Econometrics: Festschrift in Honor of Christine Thomas-Agnan",
A. Daouia, A. Ruiz-Gazen (Hrg.);
Springer,
Cham,
2021,
S. 525
- 545.
-
C. Mühlmann, H. Oja, K. Nordhausen:
"Sliced Inverse Regression for Spatial Data";
in: "Festschrift in Honor of R. Dennis Cook: Fifty Years of Contribution to Statistical Science",
E. Bura, B. Li (Hrg.);
Springer,
Cham,
2021,
S. 87
- 107.
-
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.
Beiträge in Tagungsbänden
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A. Posekany:
"Outlier detection in Bioinformatics with Mixtures of Gaussian and heavy-tailed distributions";
in: "Proceedings of the 3rd International Data Science Conference - iDSC2020",
herausgegeben von: iDSC;
Data Science - Analytics and Applications,
2021,
ISBN: 978-3-658-32181-9,
S. 58
- 65.
Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)
-
C. Rieser, P. Filzmoser:
"Compositional Data and graph theory";
Vortrag: IES 2022,
Capua;
27.01.2022
- 28.01.2022; in: "IES2022 Proceedings",
(2022).
-
U. Radojicic, N. Lietzen, K. Nordhausen, J. Virta:
"Dimension estimation in two-dimensional PCA";
Vortrag: 12th Int´l Symposium on Image and Signal Processing and Analysis,
Zagreb, Croatia;
13.09.2021
- 15.09.2021; in: "Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis",
(2021),
ISBN: 978-1-6654-2639-8;
S. 16
- 22.
-
B. Ronai, G. Vorlaufer, N. Dörr, K. Varmuza, G. Allmaier:
"Evaluation of chemical and tribometrical data of engine oils by multivarate statistics";
Vortrag: 4th Young Tribological Researcher Symposium,
Aachen (eingeladen);
07.06.2021
- 08.06.2021; in: "4th Young Tribological Researcher Symposium Abstracts",
(2021),
1 S.
Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag)
-
U. Radojicic, K. Nordhausen, J. Virta:
"Kurtosis-based projection pursuit for matrix-valued data";
Vortrag: Twenty-eight International Workshop on Matrices and Statistics,
Manipal, India;
13.12.2021
- 15.12.2021.
-
J. Gussenbauer, M. Templ, S. Fritzmann, A. Kowarik:
"Synthetic data with xgboost and advanced calibration";
Vortrag: The use of R in official statistics. uRos 2021,
Bukarest;
25.11.2021.
-
U. Radojicic, N. Lietzen, K. Nordhausen, J. Virta:
"Order Determination for Matrix-valued Observations Using Data Augmentation";
Vortrag: Statistical Seminar, J. J. Strossmayer University of Osijek Department of Mathematics,
Osijek, Croatia;
27.10.2021.
-
P. Filzmoser:
"Relativ versus absolut: Eine Einführung in die Analyse von Kompositionsdaten";
Vortrag: AC2T Student Camp,
Vorau (eingeladen);
30.09.2021.
-
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:
"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:
"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.
-
C. Mühlmann, F. Bachoc, K. Nordhausen:
"Blind Source Separation for Non-stationary Random Fields";
Vortrag: Online Conference Data Science, Statistics & Visualization (DSSV) 2021,
Rotterdam;
07.07.2021
- 09.07.2021.
-
U. Radojicic, K. Nordhausen, J. Virta:
"Large-sample properties of blind estimation of the linear discriminant using projection pursuit";
Vortrag: Online Conference Data Science, Statistics & Visualization (DSSV) 2021,
Rotterdam;
07.07.2021
- 09.07.2021.
-
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.
-
P. Filzmoser:
"Introduction to robust statistics";
Vortrag: Data Science Group of VNR Verlag,
Deutschland (eingeladen);
28.06.2021.
-
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:
"Garbage in - garbage out: Die Auswirkungen der Datenqualität auf Machine Learning";
Vortrag: Zukunftsfragen des Baubetriebes,
Wien (eingeladen);
18.05.2021.
-
C. Mühlmann, F. Bachoc, K. Nordhausen:
"Blind Source Separation for Non-stationary Random Fields";
Vortrag: The 13th Workshop on Spatial Statistics and Image Analysis in Biology,
Finland;
17.05.2021
- 19.05.2021.
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)
-
U. Radojicic:
"Non-Gaussian Feature Extraction for Complex Data";
Betreuer/in(nen), Begutachter/in(nen): K. Nordhausen, U. Schmock, P. Ilmonen;
E105 - Institut für Stochastik und Wirtschaftsmathematik,
2021;
Rigorosum: 12.10.2021.
-
C. Mühlmann:
"Advances in blind source separation for spatial data";
Betreuer/in(nen), Begutachter/in(nen): K. Nordhausen, S. Hörmann, A. Ruiz-Gazen;
Institut für Stochastik und Wirtschaftsmathematik,
2021;
Rigorosum: 11.10.2021.
-
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.
Diplom- und Master-Arbeiten (eigene und betreute)
-
B. Ronai:
"Evaluation of chemical and tribometrical data of engine oils by selected multivariate statistics";
Betreuer/in(nen): G. Allmaier, K. Varmuza;
Institut für Chemische Technologien und Analytik,
2021;
Abschlussprüfung: 29.11.2021.
-
M. Mayrhofer:
"Explainable artificial intelligence methods for modeling categorical responses";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 21.10.2021.
-
S. Priselac:
"Outlier-robust logistic regression for imbalanced data";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 21.10.2021.
-
L. Neubauer:
"Robust functional principal component regression";
Betreuer/in(nen): P. Filzmoser;
Stochastik und Wirtschaftsmathematik,
2021;
Abschlussprüfung: 19.10.2021.