| 1. Foundations of Machine Learning |
Fanny Yang, ETH / Sven Wang, EPFL |
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| 2. Spatial Stochastics, disordered media, and complex networks |
Sebastian Andres / Thomas Richthammer |
David Croydon (Kyoto) |
| 3. Stochastic Analysis, Mean Field Models and S(P)DEs |
Theresa Lange / Hendrik Weber |
Máté Gerencsér (TU Wien) |
| 4. Branching Processes and Stochastic Models in Biology |
Fernando Cordero / Stefanie Winkelmann |
Nicolas Champagnat (INRIA Nancy) |
| 5. Stochastic Modelling in Natural Sciences |
Chiranjib Mukherjee / Stefan Großskinsky |
Perla Sousi (Cambridge) |
| 6. Random Matrices, Concentration Inequalities and Large Deviations |
Torben Krüger / Alessandra Occelli |
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| 7. Stochastic Processes - Foundations and Limit Theorems |
Martin Kolb / Luisa Andreis |
Sarah Penington (University of Bath) |
| 8. Finance, Risk and Insurance |
An Chen / Johannes Muhle-Karbe |
Min Dai (The Hong Kong Polytechnic University) |
| 9. Statistics for Stochastic Processes and Quantitative Finance |
Chiara Amorino / Christian Bayer |
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| 10. Stochastic Optimization and Operations Research |
Martin Herdegen / Renyuan Xu |
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| 11. Time Series and Functional Data Analysis |
Anne van Delft / Fabian Mies |
Siegfried Hoermann (TU Graz) |
| 12. Computational Methods in Probability and Statistics |
Claudia Schillings / Björn Sprungk |
Annika Lang (Chalmers University) |
| 13. Nonparametric and Asymptotic Statistics |
Markus Reiß / Nina Dörnemann |
Davy Paindaveine (Université Libre de Bruxelles) |
| 14. Algebraic, Geometric and Topological Methods in Statistics |
Mathias Drton / Karen Habermann |
Piotr Zwiernik (Pompeu Fabra Barcelona) |
