A Fleming--Viot process and Bayesian nonparametrics

Simple item page
dc.creatorWalker, Stephen G.
dc.creatorHatjispyros, Spyridon J.
dc.creatorNicoleris, Theodoros
dc.date2007-02-28
dc.date.accessioned2026-07-07T07:49:23Z
dc.date.available2026-07-07T07:49:23Z
dc.descriptionThis paper provides a construction of a Fleming--Viot measure valued diffusion process, for which the transition function is known, by extending recent ideas of the Gibbs sampler based Markov processes. In particular, we concentrate on the Chapman--Kolmogorov consistency conditions which allows a simple derivation of such a Fleming--Viot process, once a key and apparently new combinatorial result for Pólya-urn sequences has been established.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051606000000600 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0702885
dc.identifierhttp://arxiv.org/abs/math/0702885
dc.identifierAnnals of Applied Probability 2007, Vol. 17, No. 1, 67-80
dc.identifierdoi:10.1214/105051606000000600
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/124831
dc.subjectProbability
dc.subject60G57, 60J35 (Primary) 60J60, 92D15 (Secondary)
dc.titleA Fleming--Viot process and Bayesian nonparametrics
dc.typetext

Files

Collections

arXiv