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Nonparametric bayesian inference in applications

Identificadores del recurso

http://hdl.handle.net/10533/228475

doi: 10.1007/s10260-017-0405-z

wos: WOS:000433538700001

Procedencia

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Ficha

Título:: Nonparametric bayesian inference in applications
Descripción:: Nonparametric Bayesian (BNP) inference is concerned with inference for infinite dimensional parameters, including unknown distributions, families of distributions, random mean functions and more. Better computational resources and increased use of massiv
Fuente:: Statistical Methods and Applications; reponame:Artículos CONICYT; instname:CONICYT Chile; instacron:CONICYT
Idioma:: English
Autor/Productor:: Mueeller, Peter; Quintana-Quintana, Fernando Andrés; Page, Garritt
Derechos:: info:eu-repo/semantics/openAccess; Atribución-NoComercial-SinDerivadas 3.0 Chile; http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Fecha:: 2018
Tipo de recurso:: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
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