Bayesian nonparametrics /

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"Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Hjort, Nils Lid
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2010.
Colección:Cambridge series on statistical and probabilistic mathematics ; 28.
Temas:
Nonparametric statistics.
Bayesian statistical decision theory.
Statistics, Nonparametric
Statistique non paramétrique.
Théorie de la décision bayésienne.
MATHEMATICS > Probability & Statistics > Bayesian Analysis.
Bayesian statistical decision theory
Nonparametric statistics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • An invitation to Bayesian nonparametrics / Nils Lid Hjort, Chris Holmes, Peter Müller and Stephen G. Walker
  • 1. Bayesian nonparametric methods: motivation and ideas / Stephen G. Walker
  • 2. The Dirichlet process, related priors, and posterior asymptotics / Subhashis Ghosal
  • 3. Models beyond the Dirichlet process / Antonio Lijoi and Igor Prünster
  • 4. Further models and applications / Nils Lid Hjort
  • 5. Hierarchical Bayesian nonparametric models with applications / Yee Whye Teh and Michael I. Jordan
  • 6. Computational issues arising in Bayesian nonparametric hierarchical models / Jim Griffin and Chris Holmes
  • 7. Nonparametric Bayes applications to biostatistics / David B. Dunson
  • 8. More nonparametric Bayesian models for biostatistics / Peter Müller and Fernando Quintana
  • Author index
  • Subject index.

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