Mathematics, Statistics, and Geometry of Extreme Events in High Dimensions

Abstract

The workshop brought together researchers contributing to various recent topics in Extreme Value Theory. Discussions and talks included recent probabilistic development in the theory of regular variation, advances in multivariate representations compatible with sparsity structures, statistical inference in both high dimensional and time series frameworks, and novel applications and emerging directions that leverage recent advances in deep learning.