Topic of the workshop
This workshop aimed to bring together researchers on empirical processes theory.
A special emphasis on local empirical processes and applications to statistics (extremes, regression, classification ....)
Where and when ?
The workshop did take place on may 13-14 2019, at the Laboratoire de Mathématiques de Besançon (University of Bourgogne-Franche-Comté). Thank you to all invited speakers !!!
Invited speakers
- Chen Zhou (Erasmus University Rotterdam and De Nederlandsche Bank) All block maxima method for estimating the extreme value index
- Philippe Berthet (Université Paul Sabatier, Toulouse)
Convergence of empirical Kantorovitch type contrasts and surfaces, for symmetric and asymmetric convex costs - Adrien Saumard (ENSAI, Rennes)Excess risk concentration for M-estimators.
- Odalric-Ambrym Maillard (INRIA, Lille)A tour of Time-uniform concentration inequalities : Laplace, Peeling and Kernel
- Eric Beutner (University of Maastricht)
Donsker results for the smoothed empirical process of dependent observations - François Portier (Telecom ParisTech)Rademacher complexity for Markov chains : Applications to kernel smoothing and Metropolis-Hasting
- Guillaume Lecué (CREST, Paris)
Robust machine learning via median-of-means : theory and algorithms - Patrice Bertail (CREST and University of Paris Nanterre)
Functional CLT for some negatively associated sampling designs
joint work with Antoine Rebecq(Ubisoft, Montreal) - Benjamin Bobbia (University of Bourgogne-Franche-Comté, Besançon)
Using coupling and empirical processes in the proportional-tail model for extreme quantile regression