Wir laden alle Interessierten herzlich ein, unser Forschungsseminar zu besuchen.

Univ.-Prof. Mag.Dr. Andreas Futschik, Univ.-Prof. Mag.Dr. Werner G. Müller

Institut für Angewandte Statistik



Donnerstags von 15:30 - 17:00


Science Park 2, Zwischengeschoß, Z74

Sommersemester 2020 - kommend

  1. 12. März 2020

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

  2. 19. März 2020

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

  3. 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

  4. 14. Mai 2020

    Werner Brannath (Bremen)

  5. 18. Juni

    Emmanuel Lesaffre (Leuven)

  6. 25. Juni 2020

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

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Vergangene Semester

Wintersemester 2019/20

  1. 23. Jänner 2020

    Peter Filzmoser, Technische Universität Wien

    Robust and sparse k-means clustering in high dimension


  2. 05. Dezember 2019

    Hao Wang, Jilin University, Changchun

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



  3. 28. November 2019

    Haipeng Li, CAS-MPG, Shanghai

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



  4. 07. November 2019

    Günter Pilz, Johannes Kepler Universität Linz

    Statistik ist ein Segen für die Menschheit



  5. 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


  6. 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


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Sommersemester 2019

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


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



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



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


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


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


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Wintersemester 2018/19

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


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


  3. 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



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


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


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


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Sommersemester 2018

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

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

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

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

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

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


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Wintersemester 2017/18

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

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


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


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

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


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