Concentration inequalities for ultra log-concave distributions

IF 0.7 3区 数学 Q2 MATHEMATICS
Heshan Aravinda, Arnaud Marsiglietti, J. Melbourne
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引用次数: 7

Abstract

. We establish concentration inequalities in the class of ultra log-concave distributions. In particular, we show that ultra log-concave distributions satisfy Poisson concentration bounds. As an application, we derive concentration bounds for the intrinsic volumes of a convex body, which generalizes and improves a result of Lotz, McCoy, Nourdin, Peccati, and Tropp (2019).
超对数凹分布的浓度不等式
.我们建立了一类超对数凹分布中的集中不等式。特别地,我们证明了超对数凹分布满足泊松浓度界。作为一个应用,我们推导了凸体本征体积的集中界,推广和改进了Lotz、McCoy、Nourdin、Peccati和Tropp(2019)的结果。
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来源期刊
Studia Mathematica
Studia Mathematica 数学-数学
CiteScore
1.50
自引率
12.50%
发文量
72
审稿时长
5 months
期刊介绍: The journal publishes original papers in English, French, German and Russian, mainly in functional analysis, abstract methods of mathematical analysis and probability theory.
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