Items related to Doing Bayesian Data Analysis
Synopsis
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step by step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be...
About the Author
John K. Kruschke is Professor of Psychological and Brain Sciences, and Adjunct Professor of Statistics, at Indiana University in Bloomington, Indiana, USA. He is eight-time winner of Teaching Excellence Recognition Awards from Indiana University. He won the Troland Research Award from the National Academy of Sciences (USA), and the Remak Distinguished Scholar Award from Indiana University. He has been on the editorial boards of various scientific journals,...
From the Back Cover
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, provides an accessible approach to Bayesian Data Analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling,...
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- PublisherAcademic Press
- Publication date2014
- ISBN 10 0124058884
- ISBN 13 9780124058880
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages776
- Rating
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Doing Bayesian Data Analysis
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Academic Press (edition 2), 2014
ISBN 10: 0124058884
ISBN 13: 9780124058880
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Doing Bayesian Data Analysis A Tutorial with R, JAGS, and Stan
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Elsevier Science & Technology, 2014
ISBN 10: 0124058884
ISBN 13: 9780124058880
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Doing Bayesian Data Analysis
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Doing Bayesian Data Analysis: A Tutorial With R, Jags, and Stan
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1800grams, ISBN:9780124058880. Seller Inventory # 9476972
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Doing Bayesian Data: A Tutorial with R, JAGS and Stan, Edition 2
Seller: Argosy Book Store, ABAA, ILAB, New York, NY, U.S.A.
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hardcover. Condition: fine. Illustrated with diagrams. 759 pages. Tall, thick 8vo, glossy pictorial wrappers. London: Elsevier, (2015). A fine copy. This book offers step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R, JAGS, and Stan. This book is richly illustrated and has numerous exercises with explicitly stated purposes to provide you with the additional hands-on guidance you need to build an understanding of concepts and apply them to real data. Seller Inventory # 311081
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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
Published by
Elsevier Science Publishing Co Inc, United States, San Diego, 2014
ISBN 10: 0124058884
ISBN 13: 9780124058880
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Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Paperback. Condition: Very Good. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR010828469
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Doing Bayesian Data Analysis
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Doing Bayesian Data Analysis
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Doing Bayesian Data Analysis
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Doing Bayesian Data Analysis (Hardcover)
Published by
Elsevier Science Publishing Co Inc, San Diego, 2014
ISBN 10: 0124058884
ISBN 13: 9780124058880
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Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Hardcover. Condition: new. Hardcover. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.The book is divided into three parts and begins with the basics: models, probability, Bayes rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment.This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780124058880
Quantity: 1 available