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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan (Academic Press) Hardcover – 8 Jan 2015
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"Both textbook and practical guide, this work is an accessible account of Bayesian data analysis starting from the basics…This edition is truly an expanded work and includes all new programs in JAGS and Stan designed to be easier to use than the scripts of the first edition, including when running the programs on your own data sets." --MAA Reviews, Doing Bayesian Data Analysis, Second Edition
“fills a gaping hole in what is currently available, and will serve to create its own market Prof. Michael Lee, U. of Cal., Irvine; pres. Society for Mathematical Psych. “has the potential to change the way most cognitive scientists and experimental psychologists approach the planning and analysis of their experiments" Prof. Geoffrey Iverson, U. of Cal., Irvine; past pres. Society for Mathematical Psych. “better than others for reasons stylistic.... buy it -- it’s truly amazin’! James L. (Jay) McClelland, Lucie Stern Prof. & Chair, Dept. of Psych., Stanford U. "the best introductory textbook on Bayesian MCMC techniques" J. of Mathematical Psych. "potential to change the methodological toolbox of a new generation of social scientists" J. of Economic Psych. "revolutionary" British J. of Mathematical and Statistical Psych. "writing for real people with real data. From the very first chapter, the engaging writing style will get readers excited about this topic" PsycCritiques
“I think it fills a gaping hole in what is currently available, and will serve to create its own market as researchers and their students transition towards the routine application of Bayesian statistical methods. -Prof. Michael lee, University of California, Irvine, and president of the Society for Mathematical Psychology
“Kruschke’s text covers a much broader range of traditional experimental designs…has the potential to change the way most cognitive scientists and experimental psychologists approach the planning and analysis of their experiments" -Prof. Geoffrey Iverson, University of California, Irvine, and past president of the Society for Mathematical Psychology
“John Kruschke has written a book on Statistics. It’s better than others for reasons stylistic. It also is better because itis Bayesian. To find out why, buy it -- it’s truly amazin’!-James L. (Jay) McClelland, Lucie Stern Professor & Chair, Dept. Of Psychology, Standford UniversitySee all Product description
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I bought both the hardcover and Kindle versions of the book. The author did not control the production of the Kindle version (he's stated that pretty clearly on his website), and unfortunately it has a lot of mistakes. E.g. even the derivation of Bayes Theorem has math errors. The capital letter "R" is replaced throughout the entire book with a stylised image of an italicised R. Clearly they meant to target the statistical tool, "R", but they also managed to impact any place where a capital R might show up otherwise (e.g. the phrase "Read Chapter 12 for more details"). It was sloppy.
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