A mixture representation of πwith applications in Markov chain Monte Carlo and perfect sampling

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dc.creatorHobert, James P.
dc.creatorRobert, Christian P.
dc.date2004-07-08
dc.date.accessioned2026-07-07T05:10:03Z
dc.date.available2026-07-07T05:10:03Z
dc.descriptionLet X={X_n:n=0,1,2,...} be an irreducible, positive recurrent Markov chain with invariant probability measure π. We show that if X satisfies a one-step minorization condition, then πcan be represented as an infinite mixture. The distributions in the mixture are associated with the hitting times on an accessible atom introduced via the splitting construction of Athreya and Ney [Trans. Amer. Math. Soc. 245 (1978) 493-501] and Nummelin [Z. Wahrsch. Verw. Gebiete 43 (1978) 309-318]. When the small set in the minorization condition is the entire state space, our mixture representation of πreduces to a simple formula, first derived by Breyer and Roberts [Methodol. Comput. Appl. Probab. 3 (2001) 161-177] from which samples can be easily drawn. Despite the fact that the derivation of this formula involves no coupling or backward simulation arguments, the formula can be used to reconstruct perfect sampling algorithms based on coupling from the past
dc.identifierhttps://arxiv.org/abs/math/0407120
dc.identifierhttp://arxiv.org/abs/math/0407120
dc.identifierAnnals of Probability 2004, Vol. 14, No. 3, 1295-1305
dc.identifierdoi:10.1214/105051604000000305
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/71811
dc.subjectProbability
dc.subject62C15 (Primary) 60J05 (Secondary)
dc.titleA mixture representation of πwith applications in Markov chain Monte Carlo and perfect sampling
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