Invited Plenary Talks:

Alexandra Carpentier (Universität Potsdam)

Liudas Giraitis (Queen Mary University of London)

Axel Munk (Georg-August Universität Göttingen)

Mathieu Rosenbaum (Ecole Polytechnique)

 

Focus areas:

Computational statistics

Econometrics and statistics for financial data

High-dimensional and functional data

Industrial statistics and reliability

Inverse problems

Machine learning and data science

Spatial statistics

Statistics for time series and stochastic processes

Statistics in natural sciences

Planned Sessions:

Applied econometrics (Yannik Hoga, Duisburg-Essen)     

Computational statistics (Ostap Okhrin, Dresden) 

Concentration phenomena (Marie Düker)    

Discrete time series (Christian Weiß, Hamburg)     

Functional statistics (Siegfried Hörmann, Graz)     

High-dimensional statistics and learning (Martin Wahl, Bielefeld)

Industrial statistics (Rainer Göb, Würzburg)

Inverse problems (Frank Werner, Würzburg) 

Mathematical statistics (Mathias Trabs, Karlsruhe)     

Multivariate distributions 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)     

Statistical machine learning (Sopie Langer, Twente)     

Statistics for stochastic processes (Fabian Mies, Delft)     

Statistics in natural sciences and technology (Gaby Schneider and Ansgar Steland)

Statistics in sports (Jakob Söhl, Delft) 
Time series econometrics (Carsten Jentsch, Dortmund)

TBA (Dennis Dobler)