High-dimensional distributions with convexity properties

Abstract

We review recent advances in the understanding of probability measures with geometric characteristics on Rn , for large n. These advances include the central limit theorem for convex sets, according to which the uniform measure on a high-dimensional convex body has marginals that are approximately gaussian.