Local tail bounds for functions of independent random variables

dc.creatorDevroye, Luc
dc.creatorLugosi, Gábor
dc.date2007-12-11
dc.date.accessioned2026-07-07T08:51:49Z
dc.date.available2026-07-07T08:51:49Z
dc.descriptionIt is shown that functions defined on $\{0,1,...,r-1\}^n$ satisfying certain conditions of bounded differences that guarantee sub-Gaussian tail behavior also satisfy a much stronger ``local'' sub-Gaussian property. For self-bounding and configuration functions we derive analogous locally subexponential behavior. The key tool is Talagrand's [Ann. Probab. 22 (1994) 1576--1587] variance inequality for functions defined on the binary hypercube which we extend to functions of uniformly distributed random variables defined on $\{0,1,...,r-1\}^n$ for $r\ge2$.
dc.descriptionPublished in at http://dx.doi.org/10.1214/00911797000000088 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0712.1686
dc.identifierhttp://arxiv.org/abs/0712.1686
dc.identifierAnnals of Probability 2008, Vol. 36, No. 1, 143-159
dc.identifierdoi:10.1214/00911797000000088
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145067
dc.subjectProbability
dc.subject60F10 (Primary)
dc.titleLocal tail bounds for functions of independent random variables
dc.typetext

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