Simultaneous prediction of independent Poisson observables

dc.creatorKomaki, Fumiyasu
dc.date2004-10-05
dc.date.accessioned2026-07-07T08:06:32Z
dc.date.available2026-07-07T08:06:32Z
dc.descriptionSimultaneous predictive distributions for independent Poisson observables are investigated. A class of improper prior distributions for Poisson means is introduced. The Bayesian predictive distributions based on priors from the introduced class are shown to be admissible under the Kullback-Leibler loss. A Bayesian predictive distribution based on a prior in this class dominates the Bayesian predictive distribution based on the Jeffreys prior.
dc.descriptionPublished by the Institute of Mathematical Statistics (http://www.imstat.org) in the Annals of Statistics (http://www.imstat.org/aos/) at http://dx.doi.org/10.1214/009053604000000445
dc.identifierhttps://arxiv.org/abs/math/0410094
dc.identifierhttp://arxiv.org/abs/math/0410094
dc.identifierAnnals of Statistics 2004, Vol. 32, No. 4, 1744-1769
dc.identifierdoi:10.1214/009053604000000445
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130640
dc.subjectStatistics Theory
dc.subject62F15, 62C15 (Primary)
dc.titleSimultaneous prediction of independent Poisson observables
dc.typetext

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