Poisson Process Partition Calculus with applications to Exchangeable models and Bayesian Nonparametrics

dc.creatorJames, Lancelot F.
dc.date2002-05-09
dc.date.accessioned2026-07-07T04:48:23Z
dc.date.available2026-07-07T04:48:23Z
dc.descriptionThis article discusses the usage of a partiton based Fubini calculus for Poisson processes. The approach is an amplification of Bayesian techniques developed in Lo and Weng for gamma/Dirichlet processes. Applications to models are considered which all fall within an inhomogeneous spatial extension of the size biased framework used in Perman, Pitman and Yor. Among some of the results; an explicit partition based calculus is then developed for such models, which also includes a series of important exponential change of measure formula. These results are applied to obtain results for Levy-Cox models, identities related to the two-parameter Poisson-Dirichlet process and other processes, generalisations of the Markov-Krein correspondence, calculus for extended Neutral to the Right processes, among other things.
dc.description54 pages
dc.identifierhttps://arxiv.org/abs/math/0205093
dc.identifierhttp://arxiv.org/abs/math/0205093
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/64024
dc.subjectProbability
dc.subject60G57; 60G09
dc.titlePoisson Process Partition Calculus with applications to Exchangeable models and Bayesian Nonparametrics
dc.typetext

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