Bayesian Nonparametrics.

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The most intelligent guide to the hottest field in statistics.

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Hjort, Nils Lid
Autres auteurs: Holmes, Chris, Müller, Peter, Walker, Stephen G.
Format: Électronique eBook
Langue:Inglés
Publié: Leiden : Cambridge University Press, 2010.
Collection:Cambridge Series in Statistical and Probabilistic Mathematics, 28.
Sujets:
Bayesian statistical decision theory.
Nonparametric statistics.
Statistics, Nonparametric
Théorie de la décision bayésienne.
Statistique non paramétrique.
Bayesian statistical decision theory
Nonparametric statistics
Accès en ligne:Texto completo
Table des matières:
  • Cover; Half-title; Series-title; Title; Copyright; Contents; Contributors; An invitation to Bayesian nonparametrics; 1 Bayesian nonparametric methods: motivation and ideas; 2 The Dirichlet process, related priors and posterior asymptotics; 3 Models beyond the Dirichlet process; 4 Further models and applications; 5 Hierarchical Bayesian nonparametric models with applications; 6 Computational issues arising in Bayesian nonparametric hierarchical models; 7 Nonparametric Bayes applications to biostatistics; 8 More nonparametric Bayesian models for biostatistics; Author index; Subject index.

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