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Bayesian thinking

Public ISBD Titre : Bayesian thinking : modeling and computation Type de document : texte imprimé Auteurs : Dey, Dipak Kumar, Editeur scientifique ; Rao, Calyampudi Radhakrishna, Editeur scientifique Editeur : Amsterdam : Elsevier Année de publication : 2005 Collection : Handbook of statistics, ISSN 0169-7161 num. 25 Importance : XX-1041 p. Présentation : ill. Format : 25 cm ISBN/ISSN/EAN : 978-0-444-51539-1 Note générale : Notes bibliogr. Index Langues : Anglais (eng) Mots-clés : Bayesian  statistical  decision  theory Nonparametric  statistics Statistique  bayésienne Statistique  non  paramétrique  --  Méthodologie Prise  de  décision Index. décimale : 519.2 (035) Probabilités. Statistique mathématique (Handbook) Résumé : This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Note de contenu : 1- Bayesian inference for causal effects 2- Reference analysis 3- Probability matching priors 4- Model selection and hypothesis testing based on objective probabilities and Bayes factors 5- Role of P-values and other measures of evidence in Bayesian analysis 6- Bayesian model checking and model diagnostics 7- The elimination of nuisance parameters 8- Bayesian estimation of multivariate location parameters Bayesian thinking : modeling and computation [texte imprimé] / Dey, Dipak Kumar, Editeur scientifique ; Rao, Calyampudi Radhakrishna, Editeur scientifique . - Elsevier, 2005 . - XX-1041 p. : ill. ; 25 cm. - (Handbook of statistics, ISSN 0169-7161; 25) . ISBN : 978-0-444-51539-1 Notes bibliogr. Index Langues : Anglais (eng) Mots-clés : Bayesian  statistical  decision  theory Nonparametric  statistics Statistique  bayésienne Statistique  non  paramétrique  --  Méthodologie Prise  de  décision Index. décimale : 519.2 (035) Probabilités. Statistique mathématique (Handbook) Résumé : This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Note de contenu : 1- Bayesian inference for causal effects 2- Reference analysis 3- Probability matching priors 4- Model selection and hypothesis testing based on objective probabilities and Bayes factors 5- Role of P-values and other measures of evidence in Bayesian analysis 6- Bayesian model checking and model diagnostics 7- The elimination of nuisance parameters 8- Bayesian estimation of multivariate location parameters

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité	Etat_Exemplaire
052141	519.2 (035) BAY	Papier	Bibliothèque Centrale	Mathématiques	Disponible	En bon état