Articoli correlati a A First Course in Bayesian Statistical Methods
Sinossi
This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using standard statistical models and to extend the standard models to specialized data analysis situations. The book begins with fundamental notions such as probability, exchangeability and Bayes' rule, and ends with modern topics such as variable selection in regression, generalized linear mixed effects models, and semiparametric copula estimation. Numerous examples from the social, biological and physical sciences show how to implement these methodologies in practice.
Monte Carlo summaries of posterior distributions play an important role in Bayesian data analysis. The open-source R statistical computing environment provides sufficient functionality to make Monte Carlo estimation very easy for a large number of statistical models and example R-code is provided throughout the text. Much of the example code can be run ``as is'' in R, and essentially all of it can be run after downloading the relevant datasets from the companion website for this book.
Peter Hoff is an Associate Professor of Statistics and Biostatistics at the University of Washington. He has developed a variety of Bayesian methods for multivariate data, including covariance and copula estimation, cluster analysis, mixture modeling and social network analysis. He is on the editorial board of the Annals of Applied Statistics.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 47,23
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiAltre edizioni note dello stesso titolo
Risultati della ricerca per A First Course in Bayesian Statistical Methods
Foto dell'editore
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: Good. Codice articolo mon0003799501
Quantità: 3 disponibili
Foto dell'editore
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
Da: Books From California, Simi Valley, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
paperback. Condizione: Very Good. Codice articolo mon0003666764
Quantità: 4 disponibili
Immagini fornite dal venditore
A FIRST COURSE IN BAYESIAN STATISTICAL METHODS.
Da: Librairie l'Art et l'Affiche, Nice, Francia
Valutazione del venditore 5 su 5 stelle
Couverture souple. Condizione: Comme neuf. Springer verlag, New York, 2010. Language: English. Softcover, 8vo, 270 pp. This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method. Cover and pages clean, a copy in mint condition. *//* Springer verlag, New York, 2010. Texte en Anglais. In-8 broché, 270 pp. Une introduction à la théorie et à l'application des méthodes statistiques bayésiennes. Accessible à ceux qui ont une connaissance de base des probabilités, tout en permettant aux lecteurs avancés de comprendre les principes qui sous-tendent la théorie et la méthode bayésiennes. Couv. et pages propres, exemplaire en excellent état. - ISBN 9781441928283 - Weight / Poids livre : 468 g, ép. 16 mm ** France LIVRAISON par défaut STANDARD: livraison en RELAIS COLIS Chronopost. PRIORITAIRE: livraison à domicile en Colissimo ou Lettre suivie ++ Selon le POIDS et la VALEUR, nous sommes susceptibles d'AJUSTER à la hausse ou à la baisse les frais de port // Depending on item's WEIGHT or VALUE, we may request Extra Charges, or reduce Shipping Costs **. Livre. Codice articolo S1260
Quantità: 1 disponibili
Immagini fornite dal venditore
First Course in Bayesian Statistical Methods
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Codice articolo 12796438-5
Quantità: 2 disponibili
Immagini fornite dal venditore
A First Course in Bayesian Statistical Methods
Print on DemandDa: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a nice introduction to Bayesian statistics with sufficient grounding in the Bayesian framework without being distracted by more esoteric pointsThe material is well-organized, weaving applications, background material and computation discu. Codice articolo 4173303
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
A First Course in Bayesian Statistical Methods
Editore:
Springer New York Nov 2010, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run 'as-is' allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. 284 pp. Englisch. Codice articolo 9781441928283
Quantità: 2 disponibili
Immagini fornite dal venditore
A First Course in Bayesian Statistical Methods (Paperback or Softback)
Editore:
Springer 11/19/2010, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
Nuovo
Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. A First Course in Bayesian Statistical Methods 0.88. Book. Codice articolo BBS-9781441928283
Quantità: 5 disponibili
Foto dell'editore
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9781441928283
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
A First Course in Bayesian Statistical Methods
Editore:
Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -A self-contained introduction to probability, exchangeability and Bayes¿ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run 'as-is' allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. Codice articolo 9781441928283
Quantità: 2 disponibili
Immagini fornite dal venditore
A First Course in Bayesian Statistical Methods
Editore:
Springer New York, Springer US, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using standard statistical models and to extend the standard models to specialized data analysis situations. The book begins with fundamental notions such as probability, exchangeability and Bayes' rule, and ends with modern topics such as variable selection in regression, generalized linear mixed effects models, and semiparametric copula estimation. Numerous examples from the social, biological and physical sciences show how to implement these methodologies in practice.Monte Carlo summaries of posterior distributions play an important role in Bayesian data analysis. The open-source R statistical computing environment provides sufficient functionality to make Monte Carlo estimation very easy for a large number of statistical models and example R-code is provided throughout the text. Much of the example code can be run ``as is'' in R, and essentially all of it can be run after downloading the relevant datasets from the companion website for this book.Peter Hoff is an Associate Professor of Statistics and Biostatistics at the University of Washington. He has developed a variety of Bayesian methods for multivariate data, including covariance and copula estimation, cluster analysis, mixture modeling and social network analysis. He is on the editorial board of the Annals of Applied Statistics. Codice articolo 9781441928283
Quantità: 1 disponibili