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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.
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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.
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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A First Course in Bayesian Statistical Methods
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Zustand: 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. Bestandsnummer des Verkäufers 4173303
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A FIRST COURSE IN BAYESIAN STATISTICAL METHODS.
Anbieter: Librairie l'Art et l'Affiche, Nice, Frankreich
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Couverture souple. Zustand: 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. Bestandsnummer des Verkäufers S1260
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A First Course in Bayesian Statistical Methods
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781441928283
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A First Course in Bayesian Statistical Methods
Verlag:
Springer New York, Springer US Nov 2010, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781441928283
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A First Course in Bayesian Statistical Methods
Verlag:
Springer New York, Springer US, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781441928283
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First Course in Bayesian Statistical Methods
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Zustand: 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. Bestandsnummer des Verkäufers 12796438-5
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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A First Course in Bayesian Statistical Methods (Paperback or Softback)
Verlag:
Springer 11/19/2010, 2010
ISBN 10: 1441928286
ISBN 13: 9781441928283
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Paperback or Softback. Zustand: New. A First Course in Bayesian Statistical Methods 0.88. Book. Bestandsnummer des Verkäufers BBS-9781441928283
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