dc.contributorJara-Vallejos, Alejandro Antonio
dc.contributorPontificia Universidad Católica de Chile
dc.creatorWehrhahn-Cortés, Claudia Andrea
dc.date2019-05-14T21:40:34Z
dc.date2022-08-16T18:42:26Z
dc.date2019-05-14T21:40:34Z
dc.date2022-08-16T18:42:26Z
dc.date2016
dc.date.accessioned2023-08-23T00:26:26Z
dc.date.available2023-08-23T00:26:26Z
dc.identifier1141193
dc.identifierhttps://hdl.handle.net/10533/235619
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8355158
dc.descriptionBayesian nonparametric (BNP) statistics is a relative new area of statistics. The intersection of Bayesian and non-parametric statistics was almost empty until the sixties and seventies where the first advances were made, primarily on the mathematical for
dc.descriptionFONDECYT
dc.descriptionFONDECYT
dc.languageeng
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationhttp://www.mat.uc.cl/archivos/bayesian-nonparametric-models-for-single-and-related-probability-measures-supported-on-compact-spaces.pdf
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.subjectCiencias Naturales
dc.subjectMatemáticas
dc.titleBayesian nonparametric models for single and related probability measures supported on compact spaces
dc.typeTesis Doctorado
dc.typeTesis Doctorado
dc.typeinfo:eu-repo/semantics/doctoralThesis
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeTesis


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