Quantitative comparisons between finitary posterior distributions and Bayesian posterior distributions

dc.creatorBassetti, Federico
dc.date2008-07-08
dc.date.accessioned2026-07-07T12:05:53Z
dc.date.available2026-07-07T12:05:53Z
dc.descriptionThe main object of Bayesian statistical inference is the determination of posterior distributions. Sometimes these laws are given for quantities devoid of empirical value. This serious drawback vanishes when one confines oneself to considering a finite horizon framework. However, assuming infinite exchangeability gives rise to fairly tractable {\it a posteriori} quantities, which is very attractive in applications. Hence, with a view to a reconciliation between these two aspects of the Bayesian way of reasoning, in this paper we provide quantitative comparisons between posterior distributions of finitary parameters and posterior distributions of allied parameters appearing in usual statistical models.
dc.identifierhttps://arxiv.org/abs/0807.1201
dc.identifierhttp://arxiv.org/abs/0807.1201
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208501
dc.subjectStatistical Finance
dc.subjectProbability
dc.subjectStatistics Theory
dc.subjectMethodology
dc.subject62C10, 62F15, 60G09
dc.titleQuantitative comparisons between finitary posterior distributions and Bayesian posterior distributions
dc.typetext

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