Random polytopes and the wet part for arbitrary probability distributions
Annales Henri Lebesgue, Volume 3 (2020) , pp. 701-715.

### Metadata

KeywordsRandom polytope, floating body, $\epsilon$-nets.

### Abstract

We examine how the measure and the number of vertices of the convex hull of a random sample of $n$ points from an arbitrary probability measure in ${ℝ}^{d}$ relate to the wet part of that measure. This extends classical results for the uniform distribution from a convex set proved by Bárány and Larman in 1988. The lower bound of Bárány and Larman continues to hold in the general setting, but the upper bound must be relaxed by a factor of $logn$. We show by an example that this is tight.

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