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Synopsis
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists
Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.
New to the Third Edition
- A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimation
- A chapter on the practical implementation of MCMC methods using the BUGS software
- Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm
- Many new applications from a variety of social science disciplines
- Double the number of exercises, with 20 now in each chapter
- Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R
This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Jeff Gill is a professor in the Department of Political Science, the Division of Biostatistics, and the Department of Surgery (Public Health Sciences) at Washington University. He is the author of several books and has published numerous research articles. His research applies Bayesian modeling and data analysis to questions in general social science quantitative methodology, political behavior and institutions, and medical/health data analysis using computationally intensive tools. He received his B.A. from UCLA, MBA from Georgetown University, Ph.D. from American University, and Post-Doctorate from Harvard University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurChapman & Hall/CRC
- Date d'édition2014
- ISBN 10 1439862486
- ISBN 13 9781439862483
- ReliureRelié
- Langueanglais
- Numéro d'édition3
- Nombre de pages722
- Coordonnées du fabricantnon disponible
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Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jeff Gill is a professor in the Department of Political Science, the Division of Biostatistics, and the Department of Surgery (Public Health Sciences) at Washington University. He is the author of several books and has published numerous. N° de réf. du vendeur 595835430
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Bayesian Methods : A Social and Behavioral Sciences Approach
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Bayesian Methods: A Social and Behavioral Sciences Approach
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.New to the Third EditionA chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimationA chapter on the practical implementation of MCMC methods using the BUGS softwareGreatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigmMany new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from RThis bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field. 722 pp. Englisch. N° de réf. du vendeur 9781439862483
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Bayesian Methods : A Social and Behavioral Sciences Approach
Edité par
Chapman and Hall/CRC, 2014
ISBN 10 : 1439862486
ISBN 13 : 9781439862483
Ancien ou d'occasion
Couverture rigide
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Bayesian Methods : A Social and Behavioral Sciences Approach
Edité par
Chapman and Hall/CRC, 2014
ISBN 10 : 1439862486
ISBN 13 : 9781439862483
Neuf
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Bayesian Methods : A Social and Behavioral Sciences Approach, Third Edition
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach.New to the Third EditionA chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James-Stein estimationA chapter on the practical implementation of MCMC methods using the BUGS softwareGreatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigmMany new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from RThis bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field. N° de réf. du vendeur 9781439862483
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