A Tutorial on the Computation of Bayes Factor

dc.contributor.author	HEDIBERT FREITAS LOPES
dc.coverage.cidade	São Paulo	pt_BR
dc.coverage.pais	Brasil	pt_BR
dc.date.accessioned	2023-07-25T18:48:57Z
dc.date.available	2023-07-25T18:48:57Z
dc.date.issued	2014
dc.description.other	In this review paper we revisit several of the existing schemes that approximate predictive densities and, consequently, Bayes factors. We also present the reversible jump MCMC scheme, which can be thought of as an MCMC scheme over the space of models. These approaches are applied to select the number of common factors in the basic normal linear factor model, which is a high profile example within the psychometrics community.	pt_BR
dc.format.extent	22 p.	pt_BR
dc.format.medium	Digital	pt_BR
dc.identifier.issue	BEWP 200/2014
dc.identifier.uri	https://repositorio.insper.edu.br/handle/11224/5960
dc.language.iso	Inglês	pt_BR
dc.publisher	Insper	pt_BR
dc.relation.ispartofseries	Insper Working Paper	pt_BR
dc.rights.license	O INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR	pt_BR
dc.title	A Tutorial on the Computation of Bayes Factor	pt_BR
dc.type	working paper
dspace.entity.type	Publication
local.subject.cnpq	Ciências Exatas e da Terra	pt_BR
local.type	Working Paper	pt_BR
relation.isAuthorOfPublication	41f844cb-0e5a-4ef1-bb19-5ab1cec8e2ca
relation.isAuthorOfPublication.latestForDiscovery	41f844cb-0e5a-4ef1-bb19-5ab1cec8e2ca

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