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Research Seminar

Research Seminar

We kindly welcome all interested people to participate in our research seminar.
Univ.-Prof. Mag. Dr. Andreas Futschik & Univ.-Prof. Mag. Dr. Werner G. Müller

 

 

Institute of Applied Statistics

Research Seminar

Time

Thursdays from 15:30 until 17:00

Location

Science Park 2, Intermediate Storey, Z74.

Winter Term 2019/20 - Upcoming

  1. 05. December 2019

    Hao Wang, Jilin University, Changchun

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

    [abstract]

  2. 23. January 2020

    Peter Filzmoser, Technische Universität Wien

    Robust and sparse k-means clustering in high dimension

    [abstract]

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Winter Term 2019/20 - Past Talks

  1. 28. November 2019

    Haipeng Li, CAS-MPG, Shanghai

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

    [abstract]

     

  2. 07. November 2019

    Günter Pilz, Johannes Kepler Universität Linz

    Statistik ist ein Segen für die Menschheit

    [abstract]

    [talk]

     

  3. 31. October 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]

     

     

  4. 10. October 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]

     

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Previous Semester

Summer Term 2019

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

    [abstract]

     

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

    [abstract]

     

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

    [abstract]

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

    [abstract]

  5. 14. March 2019
    Florian Frommlet, Medical University Vienna, Austria: Deep Bayesian Regression

    [abstract]

     

  6. 14. March 2019. Attention, Start: 13:45
    Thomas Petzoldt, TU Dresden, Germany: Identification of distribution components from antibiotic resistance data - Opportunities and challenges

    [abstract]

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Winter Term 2018/19

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

    [abstract]

     

  2. 21. November 2018 (Attention, Wednesday 15:30, S3 048)
    Hirohisa Kishino, University of Tokyo, Japan: Bridging molecular evolution and phenotypic evolution

    [abstract]

  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

    [abstract]

    [Slides]

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

    [abstract]

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

    [abstract]

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

    [abstract]

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Summer Term 2018

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

    [abstract]

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

  3. 24. May 2018
    Carsten Wiuf, University of Copenhagen, Denmark: A simple method to aggregate p-valus without a priori grouping. 

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

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

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

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

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

    [abstract]

  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

    [abstract]

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