Step Size in Stein's Method of Exchangeable Pairs

dc.creatorRoss, Nathan
dc.date2009-04-02
dc.date.accessioned2026-07-07T12:59:30Z
dc.date.available2026-07-07T12:59:30Z
dc.descriptionStein's method of exchangeable pairs is examined through five examples in relation to Poisson and normal distribution approximation. In particular, in the case where the exchangeable pair is constructed from a reversible Markov chain, we analyze how modifying the step size of the chain in a natural way affects the error term in the approximation acquired through Stein's method. It has been noted for the normal approximation that smaller step sizes may yield better bounds, and we obtain the first rigorous results that verify this intuition. For the examples associated to the normal distribution, the bound on the error is expressed in terms of the spectrum of the underlying chain, a characteristic of the chain related to convergence rates. The Poisson approximation using exchangeable pairs is less studied than the normal, but in the examples presented here the same principles hold.
dc.description37 pages
dc.identifierhttps://arxiv.org/abs/0904.0284
dc.identifierhttp://arxiv.org/abs/0904.0284
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/225593
dc.subjectProbability
dc.subjectCombinatorics
dc.titleStep Size in Stein's Method of Exchangeable Pairs
dc.typetext

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