Bayesian analysis for reversible Markov chains

dc.creatorDiaconis, Persi
dc.creatorRolles, Silke W. W.
dc.date2006-05-22
dc.date2006-08-01
dc.date.accessioned2026-07-07T08:07:50Z
dc.date.available2026-07-07T08:07:50Z
dc.descriptionWe introduce a natural conjugate prior for the transition matrix of a reversible Markov chain. This allows estimation and testing. The prior arises from random walk with reinforcement in the same way the Dirichlet prior arises from Pólya's urn. We give closed form normalizing constants, a simple method of simulation from the posterior and a characterization along the lines of W. E. Johnson's characterization of the Dirichlet prior.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000000290 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0605582
dc.identifierhttp://arxiv.org/abs/math/0605582
dc.identifierAnnals of Statistics 2006, Vol. 34, No. 3, 1270-1292
dc.identifierdoi:10.1214/009053606000000290
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131064
dc.subjectStatistics Theory
dc.subject62M02 (Primary) 62C10 (Secondary)
dc.titleBayesian analysis for reversible Markov chains
dc.typetext

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