Bayesian finite mixtures: a note on prior specification and posterior computation

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dc.creatorNobile, Agostino
dc.date2007-11-03
dc.date.accessioned2026-07-07T08:40:33Z
dc.date.available2026-07-07T08:40:33Z
dc.descriptionA new method for the computation of the posterior distribution of the number k of components in a finite mixture is presented. Two aspects of prior specification are also studied: an argument is made for the use of a Poisson(1) distribution as the prior for k; and methods are given for the selection of hyperparameter values in the mixture of normals model, with natural conjugate priors on the components parameters.
dc.description14 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/0711.0458
dc.identifierhttp://arxiv.org/abs/0711.0458
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/141404
dc.subjectMethodology
dc.subjectComputation
dc.titleBayesian finite mixtures: a note on prior specification and posterior computation
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