High-dimensional distributions with convexity properties

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 highdimensional convex body has marginals that are approximately gaussian.

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