Conferences and Presentations

Conference Activity

Organizing Committee

• 11th Annual RCEA Bayesian Econometric Workshop (University of Melbourne, 03 - 04/07/2017)
• 4th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat, Georg-August-Universität Göttingen, 14 - 18/03/2016)
• 29th International Workshop on Statistical Modelling (Georg-August-Universität Göttingen, 13 - 18/07/2014)

Organized Sessions

• Organized Session: Recent Advances in Copula Regression at the 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics, London, 17 - 19/12/22)
• Invited Session: Recent Advances in Variational Inference Methods at the 16th World Meeting of the International Society for Bayesian Analysis (Montreal, 25/06 - 01/07/22)
• Organized Session: Advances in Bayesian Econometrics at the 14th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics, London, 18 - 20/12/21)
• Organized Session: Advances in Distributional Regression Models at the 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics, London, 16 - 18/12/19)

Chaired Sessions

• Invited Session: Advanced Regression Modeling-Longitudinal Data and Mixed Models at 5th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat, Ludwig-Maximilians-Universität Munich, 18 - 22/03/2019)

Organization of Workshops and Retreats

• Workshop Fairness, Explainability and Uncertainty of AI (Research Group AI, Junge Akademie, 19 - 20/09/22)
• Workshop Data Science meets Landscape Ecology (joint with Anna Cord, TU Dresden, Junge Akademie, 15/06/22)

Recent Presentations and Posters

• Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices at the Research Seminar of the Melbourne Business School (Melbourne, 31/08/2022)
• Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices at the Research Seminar of the Macquarie Business School (University of Sydney, 18 - 20/08/2022)
• Scalable, Calibrated (Deep) Probabilistic Learning at the Colloquium of the Department of Computer Science (Humboldt-Universität zu Berlin, 04/05/2022)
• Bayesian Variable Selection for Non-Gaussian Responses - A Marginally Calibrated Copula Approach at the IBS Price Session (DAGStat 2022, UKE Hamburg, 28/03 - 01/04/2022)
• Advances in Distributional Regression at the Bremer Kolloquium Epidemiologie - Public Health, BIPS Bremen (Competence Center for Clinical Trials, Universität Bremen, 22 - 23/09/2021)
• Marginally Calibrated Deep Distributional Regression and Beyond at the Research Center Trustworthy Data Science and Security (Technische Universität Dortmund, 20 - 21/09/2021)
• Marginally Calibrated Deep Distributional Regression (with an application to computationally challenging likelihood-free inference problems) at the Faculty of Statistics (Technische Universität Dortmund, 13/01/2021)
• Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices at the School of Business and Economics (Humboldt-Universität zu Berlin, 20/11/2020)
• Advances in Distributional Regression - Statistical Learning Approaches at the Faculty of Business and Economics (Georg-August-Universität Göttingen, 12/07/2020)
• Bayesian Regression Copulas at the Mathematical Statistics Research Seminar (WIAS, Humboldt-Universität zu Berlin, 29/01/2020)