Invited Plenary Talks:

Alexandra Carpentier (Universität Potsdam)

Statistical and computational challenges in unsupervised learning: focus on ranking


Liudas Giraitis (Queen Mary University of London)

Unlocking the Regression Space


Axel Munk (Georg-August Universität Göttingen)

Statistical Optimal Transport in Action: From Theory to Applications


Mathieu Rosenbaum (Ecole Polytechnique)

A unified theory of order flow, market impact and volatility

>> Online-Program

Program at a glance:

The conference begins on Wednesday, March 18, at 8:50 a.m. and concludes on Friday, March 20, at 1:00 p.m., before lunch. We look forward to 122 talks across 23 sessions.

The detailed online program, including all sessions, speakers, and abstracts, is now available. Just click the button above.


Participants can create a personalized agenda after logging into their registration account. All talks, except for the plenary lectures, are scheduled for 30 minutes, including discussion.



Session Organizer / Chair
Advances in Latent Variable Models Daniele Tancini, University of Perugia
Applied Econometrics Yannik Hoga, Duisburg-Essen
Computational Biostatistics Dennis Dobler, Aachen
Computational Statistics Ostap Okhrin, Dresden
Contributions to Computational Biotatistics and Data Science Dennis Dobler, Aachen
Contributions to Mathematical Statistics Mathias Trabs, Karlsruhe
Data Science Perspectives from Industry Rainer Göb, Würzburg
Discrete time series Christian Weiß, Hamburg
High-dimensional estimation and concentration phenomena Marie Düker, FAU Erlangen-Nürnberg
High-dimensional statistics and learning Martin Wahl, Bielefeld
Inference in Wasserstein Spaces and Optimal Transport Ansgar Steland, Aachen
Mathematical Statistics Mathias Trabs, Karlsruhe
Multivariate Statistics and Copulas Eckhard Liebscher, Mittweida
New developments in nonparametric classification and estimation based on the nearest neighbor method Hajo Holzmann, Marburg
Nonparametric statistics Anne Leucht, Bamberg
Random Matrix Theory Nestor Parolya, Delft
Theory of Machine Learning: Insights from Women Researchers Sopie Langer, Bochum, and Mahsa Taheri, Hamburg
Statistics for Sports Jakob Söhl, Delft
Statistics for Stochastic Processes Fabian Mies, Delft
Statistical Inverse Problems Frank Werner, Würzburg
Statistics in Natural Sciences and Technology Gaby Schneider, Frankfurt, and Ansgar Steland
Time Series Econometrics Carsten Jentsch, Dortmund
Topics in functional data analysis Siegfried Hörmann, Graz