On rates of convergence for posterior distributions in infinite-dimensional models

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dc.creatorWalker, Stephen G.
dc.creatorLijoi, Antonio
dc.creatorPrünster, Igor
dc.date2007-08-14
dc.date.accessioned2026-07-07T08:24:37Z
dc.date.available2026-07-07T08:24:37Z
dc.descriptionThis paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consistency. In particular, we improve on current rates of convergence for models including the mixture of Dirichlet process model and the random Bernstein polynomial model.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000001361 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/0708.1892
dc.identifierhttp://arxiv.org/abs/0708.1892
dc.identifierAnnals of Statistics 2007, Vol. 35, No. 2, 738-746
dc.identifierdoi:10.1214/009053606000001361
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/136400
dc.subjectStatistics Theory
dc.subject62G07, 62G20, 62F15 (Primary)
dc.titleOn rates of convergence for posterior distributions in infinite-dimensional models
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