Research Group "Stochastic Algorithms and Nonparametric Statistics"

Seminar "Modern Methods in Applied Stochastics and Nonparametric Statistics" Winter Semester 2026/27

01.09.2026
ESH, A.-W.-Amo-STR. 39!
08.09.2026

15.09.2026

22.09.2026

29.09.2026

06.10.2026 Prof. Dr. Vladimir Spokoiny (WIAS Berlin)
Gaussian mixtures on manifolds
13.10.2026 Prof. Dr. Walter Schachermayer (University of Vienna)
Bass martingales versus martingale Schrödinger bridges
We analyze two different optimization criteria for martingale transports between two probability measures mu, nu on R^d. Bass martingales pertain to the optimality with respect to a certain Wasserstein distance, while martingale Schrödinger bridges pertain to minimality of the relative entropy with respect to Wiener measure. We discuss the similarities and differences of these two approaches. In a recent paper by Backhoff, Beiglböck, Bifronte, and Ley martingale Schrödinger bridges were crucially related to Föllmer processes which have been studied in the eighties.
20.10.2026 Dr. Stefan Schrott (WIAS Berlin)

27.10.2026 Dr. Davit Gogolashvili (WIAS Berlin)
Minimax estimation of Kernel Stein discrepancy
Kernel Stein Discrepancy (KSD) compares a sample to a fixed target distribution known only through its score, and is widely used for goodness-of-fit testing, sample quality assessment, and approximate inference. We study the estimation of KSD from n independent observations and identify the sharp spectral constant governing the minimax risk: it is the Hilbert-Schmidt norm of the Stein covariance operator.
03.11.2026 Dr. Christian Bayer (WIAS Berlin)
HVP 11a, R.313 Quasi-Monte Carlo with domain transformation for efficient fourier pricing of multi-asset options
10.11.2026 Prof. Dr. Johannes Schmidt-Hieber (WIAS Berlin)
Group discussion: Adapting our research in view of AI progress
17.11.2026 Chenguang Duan (WIAS Berlin )
Neural sampling via Wasserstein--Fisher--Rao JKO scheme
24.11.2026

01.12.2026

08.12.2026

15.12.2026



last reviewed: August 20, 2026 by Christine Schneider