Publikationsliste für Angehörige von
E105 - Institut für Stochastik und Wirtschaftsmathematik
E105-08 Angewandte Statistik
als Autorinnen / Autoren bzw. wesentlich beteiligte Personen
2020 - 2022
30 Datensätze
Bücher und Buch-Herausgaben
E. Bura, B. Li (Hrg.):
"Festschrift in Honor of R. Dennis Cook: Fifty Years of Contribution to Statistical Science";
Springer, Cham,
2021,
ISBN: 978-3-030-69008-3;
192 S.
Zeitschriftenartikel
A. Kofler, T. Levajković, H. Mena, A. Ostermann:
"A splitting/polynomial chaos expansion approach for stochastic evolution equations.";
Journal of Evolution Equations,
26
(2020),
S. 37.
M. Messer, H. Backhaus, T. Fu, A. Stroh, G. Schneider:
"A multi-scale approach for testing and detecting peaks in time series";
STATISTICS,
54
(2020),
S. 1058
- 1080.
R. Pfeiffer, E. Bura, D. Kapla:
"Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors";
International Journal of Data Science and Analytics,
10
(2020),
4;
S. 1
- 16.
O. Trindade, T. Berisha, P. Svoboda, E. Bura, C. Mecklenbräuker:
"Assessment of Treatment Influence in Mobile Network Coverage on board High-Speed Trains";
IEEE Access,
8
(2020),
S. 162945
- 162960.
E. Bura, A. Barbarino:
"Forecasting Near-equivalence of Linear Dimension Reduction Methods in Large Panels of Macro-variables";
Econometrics and Statistics,
Volume 20
(2021),
S. 1
- 18.
E. Bura, D. Pena, L. Li, C. J. Nachtsheim, C. Setodji, R. E. Weiss, B. Li:
"A Conversation with Dennis Cook";
Statistical Science,
36
(2021),
2;
S. 328
- 337.
K. Ekvall, G. Jones:
"Convergence analysis of a collapsed Gibbs sampler for Bayesian vector autoregressions";
Electronic Journal of Statistics,
Vol. 15
(2021),
1;
30 S.
S. Gordić, T. Levajković, L. Oparnica:
"Stochastic parabolic equations with singular potentials";
Chaos, Solitons & Fractals,
Volume 151
(2021),
111245;
S. 1
- 12.
E. Bura, L. Fertl:
"Conditional Variance Estimator for Sufficient Dimension Reduction";
Bernoulli,
28
(2022),
3;
S. 1862
- 1891.
E. Bura, L. Forzani, D. Tomassi, R. Arancibia, P. Llop:
"Sufficient dimension reductions for mixed predictors";
Journal of Machine Learning Research,
23
(2022),
102;
S. 1
- 47.
E. Bura, D. Kapla, L. Fertl:
"Fusing Sufficient Dimension Reduction with Neural Networks";
Computational Statistics and Data Analysis,
Voulme 168
(2022),
107390;
S. 1
- 20.
K. Ekvall:
"Targeted principal components regression";
Journal of Multivariate Analysis,
online
(2022),
104995;
S. 1
- 23.
K. Ekvall, A. Molstad:
"Mixed-type multivariate response regression with covariance estimation";
Statistics in Medicine,
online
(2022),
S. 1
- 18.
Buchbeiträge
R. Viertl:
"Measurement results and fuzzy models";
in: "Advanced Mathematical and Computational Tools in Metrology and Testing XII",
90;
F. Pavese et al. (Hrg.);
World Scientific Publishing Company,
Singapore,
2021,
ISBN: 978-981-124-237-3.
Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)
E. Bura:
"Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors.";
Vortrag: STAT- DS Colloquium,
Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China (eingeladen);
03.12.2020; in: "STAT- DS Colloquium",
International Journal of Data Science and Analytics,
10/4
(2020),
ISSN: 2364-415x;
S. 1
- 16.
A. Karimi, S. Stankovic, M. Moosbrugger, L. Kovacs, E. Bartocci, E. Bura:
"Distribution Estimation for Probabilistic Loops";
als Vortrag angenommen für: Proc. of QEST 2022: the 19th International Conference on Quantitative Evaluation of SysTems,
Warsaw, Poland;
12.09.2022
- 16.09.2022; in: "Proc. of QEST'22: the 19th International Conference on Quantitative Evaluation of SysTems",
(2022).
A. Kofnov, M. Moosbrugger, S. Stankovic, E. Bartocci, E. Bura:
"Moment-based Invariants for Probabilistic Loops with non-polynomial assignments";
als Vortrag angenommen für: Proc. of QEST 2022: the 19th International Conference on Quantitative Evaluation of SysTems,
Warsaw, Poland;
12.09.2022
- 16.09.2022; in: "Proc. of QEST'22: the 19th International Conference on Quantitative Evaluation of SysTems",
(2022).
Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag)
M. Messer:
"Bivariate change point detection - joint detection of changes in expectation or variance";
Vortrag: Bivariate change point detection,
Institute of Statistics and Mathematical Methods in Economics, TU Wien;
19.01.2020.
M. Messer:
"Bivariate change point detection - joint detection of changes in expectation or variance, Oberseminar zur Stochastik";
Vortrag: Oberseminar zur Stochastik,
Otto von Guericke Universität Magdeburg (eingeladen);
07.05.2020.
T. Levajković, L. Oparnica, S. Gordic:
"The stochastic heat equation with singular potential";
Poster: International Conference on Generalized Functions,
Universität Gent;
31.08.2020
- 04.09.2020.
E. Bura, E. Bartocci, S. Semeen:
"Secure and Intelligent Human-Centric Digital Technologies (SecInt)";
Vortrag: TU Wien Doctoral College,
Online;
01.09.2020.
E. Bartocci, L. Kovacs, E. Bura:
"ProbInG: Distribution Recovery for Invariant Generation of Probabilistic Programs";
Vortrag: Vienna Science, Research and Technology Fund - ProbInG,
online;
14.12.2020
- 15.12.2020.
T. Levajković:
"Stochastic evolution equations: A polynomial chaos approach";
Vortrag: WIAS, Weierstrass Institute for Applied Analysis and Stochastics,
Berlin;
05/2021.
T. Levajković:
"Stochastic parabolic equations with singularities";
Vortrag: 9th Austrian Stochastics Days (ASD 2021),
Leoben;
09.09.2021
- 10.09.2021.
E. Bura:
"Extracting Information from Data: Past, present and future research directions";
Vortrag: Colloquium series, Department of Statistics, Penn State University,
Pennsylvania, Vereinigte Staaten (eingeladen);
01.11.2021.
K. Johnson:
"Robust Models of SARS-CoV-2 Heterogeneity and Control: Controlling simulated outbreaks of new SARS-CoV-2 variants";
Vortrag: Universität Wien Arbeitsgemeinschaft Biomathematik,
Wien (online) (eingeladen);
26.11.2021.
K. Johnson:
"Disease "Momentum": Estimating the Reproduction Number Under Superspreading";
Vortrag: Forum Junge Statistik Seminar,
Universität Wien (online) (eingeladen);
29.11.2021.
D. Kapla:
"Fusing Sufficient Dimension Reduction with Neural Networks";
Vortrag: Statistics seminar,
University of Jyväskylä, Finnland (online);
03.12.2021.
Habilitationsschriften
T. Levajković:
"Polynomial Chaos Expansion Approach for Stochastic Partial Differential Equations with Applications";
Leopold‐Franzens‐Universität Innsbruck,
2020.
