Small ball probabilities, maximum density and rearrangements
classification
🧮 math.PR
keywords
balldensitymaximumballsboundeddensitiesdistributionsgeneralizes
read the original abstract
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 balls. This in turn generalizes a result by Rogozin on the maximum density of such sums on the line.
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