Foundations of Bayesian Inference for Complex Statistical Models

Abstract

In this virtual workshop a variety of recent developments in Bayesian high-dimensional and nonparametric statistics were discussed in depth. There were 12 in depth talks delivered via zoom in the afternoons (to allow for US attendance), and several informal evening time meetings on wonder.me, where follow up discussions of the most important mathematical developments took place.

Cite this article

Richard Nickl, Judith Rousseau, Aad van der Vaart, Foundations of Bayesian Inference for Complex Statistical Models. Oberwolfach Rep. 18 (2021), no. 2, pp. 1191–1208

DOI 10.4171/OWR/2021/22