Small Deviation Probability via Chaining

dc.creatorAurzada, Frank
dc.creatorLifshits, Mikhail
dc.date2007-06-19
dc.date2007-11-23
dc.date.accessioned2026-07-07T10:17:48Z
dc.date.available2026-07-07T10:17:48Z
dc.descriptionWe obtain several extensions of Talagrand's lower bound for the small deviation probability using metric entropy. For Gaussian processes, our investigations are focused on processes with sub-polynomial and, respectively, exponential behaviour of covering numbers. The corresponding results are also proved for non-Gaussian symmetric stable processes, both for the cases of critically small and critically large entropy. The results extensively use the classical chaining technique; at the same time they are meant to explore the limits of this method.
dc.descriptionto appear in: Stochastic Processes and Their Applications
dc.identifierhttps://arxiv.org/abs/0706.2720
dc.identifierhttp://arxiv.org/abs/0706.2720
dc.identifierStochastic Processes and their Applications 118 (2008) 2344-2368
dc.identifierdoi:10.1016/j.spa.2008.01.005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173981
dc.subjectProbability
dc.titleSmall Deviation Probability via Chaining
dc.typetext

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