Objective Bayes testing of Poisson versus inflated Poisson models

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dc.creatorBayarri, M. J.
dc.creatorBerger, James O.
dc.creatorDatta, Gauri S.
dc.date2008-05-21
dc.date.accessioned2026-07-07T12:19:08Z
dc.date.available2026-07-07T12:19:08Z
dc.descriptionThe Poisson distribution is often used as a standard model for count data. Quite often, however, such data sets are not well fit by a Poisson model because they have more zeros than are compatible with this model. For these situations, a zero-inflated Poisson (ZIP) distribution is often proposed. This article addresses testing a Poisson versus a ZIP model, using Bayesian methodology based on suitable objective priors. Specific choices of objective priors are justified and their properties investigated. The methodology is extended to include covariates in regression models. Several applications are given.
dc.descriptionPublished in at http://dx.doi.org/10.1214/074921708000000093 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0805.3220
dc.identifierhttp://arxiv.org/abs/0805.3220
dc.identifierIMS Collections 2008, Vol. 3, 105-121
dc.identifierdoi:10.1214/074921708000000093
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212645
dc.subjectStatistics Theory
dc.subjectMethodology
dc.subject62F15, 62F03 (Primary)
dc.titleObjective Bayes testing of Poisson versus inflated Poisson models
dc.typetext

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