Forschungsseminar

12. März 2020

Florian Sobieczky u. Lisa Ehrlinger (SCCH): A Rendez-Vous in Data Science: Machine Learning meets Statistics
[abstract]

19. März 2020

Florian Meinfelder, Otto-Friedrich-Universität Bamberg, Germany: Data Fusion – More than “Statistical Matching”
[abstract]

23. April 2020

Leah South, Lancaster University, United Kingdom: Developments in Stein-based control variates
Matthew Sutton, Lancaster University, United Kingdom: Bayesian analysis for hierarchical models using piecewise-deterministic
Markov processes
[abstracts]

14. Mai 2020

Werner Brannath (Bremen)

18. Juni

Emmanuel Lesaffre (Leuven)

25. Juni 2020

Roberto Benedetti, University of Chieti-Pescara, Italy: Balanced, Spatially Balanced & Doubly Balanced sample selection algorithms based on MCMC
[abstract]

23. Jänner 2020

Peter Filzmoser, Technische Universität Wien

Robust and sparse k-means clustering in high dimension

[abstract]

05. Dezember 2019

Hao Wang, Jilin University, Changchun

Dependence structure between Chinese Shanghai and Shenzhen stock market based on copulas and cluster analysis

[abstract]

28. November 2019

Haipeng Li, CAS-MPG, Shanghai

Supervised learning for analyzing large-scale genome-wide DNA polymorphism data

[abstract]

07. November 2019

Günter Pilz, Johannes Kepler Universität Linz

Statistik ist ein Segen für die Menschheit

[abstract]

[Vortrag]

31. Oktober 2019

Martin Wolfsegger, Takeda Pharmaceutical Company Ltd.

Some likely useful thoughts on prescription drug-use-related software support­ing personalized dosing regimen

Alexander Bauer, Takeda Pharmaceutical Company Ltd.

Evaluation of drug combinations

[abstract]

10. Oktober 2019

Leonardo Grilli, University of Florence

Multiple imputation and selection of predictors in multilevel models for analys­ing the relationship between student ratings and teacher beliefs and practices

[abstract]

23. Mai 2019
Siegfried Hörmann, TU Graz: ANOVA for functional time series data: when there is dependence between groups

[abstract]

9. Mai 2019
Markus Hainy, Johannes Kepler Universität Linz: Optimal Bayesian design for models with intractable likelihoods via supervised learning
methods

[abstract]

11. April 2019
Dominik Schrempf, Eötvös Loránd University in Budapest, Ungarn: Phylogenetic incongruences - opportunities to improve the reconstruction of a dated tree of life

[abstract]

4. April 2019
Antony Overstall, University of Southampton, UK: Bayesian design for physical models using computer experiments

[abstract]

14. März 2019
Florian Frommlet, Medizinische Universität Wien: Deep Bayesian Regression

[abstract]

14. März 2019. Achtung, Beginn: 13:45
Thomas Petzoldt, TU Dresden, Deutschland: Identification of distribution components from antibiotic resistance data - Opportunities and challenges

[abstract]

17. Jänner 2019
Harry Haupt, Universität Passau, Deutschland: Modeling spatial components for complexly associated urban data

[abstract]

22. November 2018 (Achtung, Mittwoch 15:30, S3 048)
Hirohisa Kishino, University of Tokyo, Japan: Bridging molecular evolution and phenotypic evolution

[abstract]

15. November 2018
Helmut Küchenhoff, Ludwig-Maximilians-Universität München, The analysis of voter transitions in the Bavarian state election 2018 using data from different sources: a teaching research project conducted by three Bavarian universities

[abstract]

[Folien]

8. November 2018
Efstathia Bura, TU Wien: Least Squares and ML Estimation Approaches of the Sufficient Reduction for Matrix Valued Predictors

[abstract]

25. Oktober 2018
Erindi Allaj: Volatility measurement in presence of high-frequency data

[abstract]

11. Oktober 2018
David Gabauer, JKU Linz, Austria: To Be or Not to Be’ a Member of an Optimum Currency Area?

[abstract]

24. Mai 2018
Carsten Wiuf, University of Copenhagen, Dänemark: A simple method to aggregate p-values without a priori grouping. 

24. Mai 2018
Pavlina Jordanova, University of Shumen, Bulgaria: On “multivariate” modifications of Cramer Lundberg risk model. 

26. April 2018
Juan M. Rodríguez-Díaz, Universidad de Salamanca, Spanien: Design optimality in multiresponse models with double covariance structure. 

19. April 2018
Robert Breitenecker, Johannes Kepler Universität Linz: Spatial Heterogeneity in Entrepreneurship Research: An application of Geographically Weighted Regression. 

15. März 2018
Andreas Mayr, Friedrich-Alexander-University Erlangen-Nürnberg, Germany: An introduction to boosting distributional regression. 

28. Juni 2018
Gangaram S. Ladde, University of South Florida, USA: Energy/Lyapunov Function Method and Stochastic Mathematical Finance

[abstract]

25. January 2018
Thomas Kneib, Georg-August-Universität Göttingen: A Lego System for Building Structured Additive Distributional Regression Models with Tensor Product Interactions

7. December 2017
Franz König, Medizinische Universität Wien: Optimal rejection regions for multi-arm clinical trials

[abstract]

9. November 2017
Henrique Teotonio, Institut de Biologie de l'École Normale Supérieure, Paris: Inferring natural selection and genetic drift in evolution experiments

19. October 2017
Lenka Filová, Comenius University in Bratislava: Optimal Design of Experiments in R

12. October 2017
Elisa Perrone, Massachusetts Institute of Technology, Cambridge, MA (USA): Discrete copulas for weather forecasting: theoretical and practical aspects

[abstract]