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Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics #98) ... readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The material pre-sented here has been used by students of different levels and disciplines, including advanced under-graduates studying Mathematics and Statistics and students in graduate programs in Statistics, Applied Bayesian statistics : with R and OpenBUGS examples. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. Applied Bayesian statistics with R and OpenBUGS examples / This book is based on over a dozen years teaching a Bayesian Statistics course. 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Save up to 80% by choosing the eTextbook option for ISBN: 9781461456964, 1461456967. Might be an ex-library copy and contain writing/highlighting. Read Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics) book reviews & author details and more at Amazon.in. Less of an introductory text to Bayesian statistics, and more of an example driven text on Bayesian statistics implementation in R and OpenBugs. Applied Bayesian Statistics : With R and OpenBUGS Examples, Hardcover by Cowles, Mary Kathryn, ISBN 1461456959, ISBN-13 9781461456957, Brand New, Free shipping Based on the author's extensive experience in both statistics and education, this book imparts the basics of designing and carrying out Bayesian analyses, and interpreting and communicating the results. 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Most of the examples are simple, and similar to other online sources. This book is based on over a dozen years teaching a Bayesian Statistics course. Applied Bayesian Statistics With R and OpenBUGS Examples by Mary Kathryn Cowles and Publisher Springer. fundamental concepts in Bayesian statistics; the Stan programming language; the R interface RStan; the workflow for Bayesian model building, inference, and convergence diagnosis; additional R packages that facilitate statistical modeling using Stan; Through numerous applied examples, readers will also learn how to write and run their own models. Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics series) by Mary Kathryn Cowles. Less of an introductory text to Bayesian statistics, and more of an example driven text on Bayesian statistics implementation in R and OpenBugs. This book is based on over a dozen years teaching a Bayesian Statistics course. 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