Some issues in nonparametric Bayesian modelling using species sampling models

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dc.contributor.authorNavarrete, Carlos
dc.contributor.authorQuintana, Fernando A.
dc.contributor.authorMueller, Peter
dc.date.accessioned2024-01-10T13:43:37Z
dc.date.available2024-01-10T13:43:37Z
dc.date.issued2008
dc.description.abstractWe review some aspects of nonparametric Bayesian data analysis with discrete random probability measures. We focus on the class of species sampling models (SSMs). We critically investigate the common use of the Dirichlet process (DP) prior as a default SSM choice. We discuss alternative prior specifications from a theoretical, computational and data analysis perspective. We conclude with a recommendation to consider SSM priors beyond the special case of the DP prior, and make specific recommendations on how different choices can be used to reflect prior information and how they impact the desired inference. We show the required changes in the posterior simulation schemes, and argue that the additional generality can be achieved without additional computational effort.
dc.fechaingreso.objetodigital2024-05-14
dc.format.extent19 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1177/1471082X0700800102
dc.identifier.issn1471-082X
dc.identifier.urihttps://doi.org/10.1177/1471082X0700800102
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/78698
dc.identifier.wosidWOS:000257402200002
dc.information.autorucMatemática;Fernando Quintana;S/I;100343
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final21
dc.pagina.inicio3
dc.publisherSAGE PUBLICATIONS LTD
dc.revistaSTATISTICAL MODELLING
dc.rightsacceso restringido
dc.subjectdensity estimation
dc.subjectPitman-Yor process
dc.subjectrandom probability measures
dc.subjectDIRICHLET PROCESS MIXTURE
dc.subjectPOLYA TREE DISTRIBUTIONS
dc.subjectCHAIN MONTE-CARLO
dc.subjectGAMMA PROCESSES
dc.subjectDENSITY-ESTIMATION
dc.subjectBINARY SEQUENCES
dc.subjectUNKNOWN NUMBER
dc.subjectCOUNT DATA
dc.subjectINFERENCE
dc.subjectBETA
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleSome issues in nonparametric Bayesian modelling using species sampling models
dc.typeartículo
dc.volumen8
sipa.codpersvinculados100343
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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