arXiv:1503.09190 [math.PR]AbstractReferencesReviewsResources
Small ball probabilities, maximum density and rearrangements
Published 2015-03-31Version 1
We prove that the probability that a sum of independent random variables in $\mathbb{R}^d$ with bounded densities lies in a ball is maximized by taking uniform distributions on spheres. This in turn generalizes a result by Rogozin on the maximum density of such sums on the line.
Comments: 4 pages
Categories: math.PR
Related articles: Most relevant | Search more
Large deviation results for sums of independent random variables
arXiv:math/9909054 [math.PR] (Published 1999-09-09)
Measuring the magnitude of sums of independent random variables
arXiv:math/9811124 [math.PR] (Published 1998-11-20)
A comparison inequality for sums of independent random variables