"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

"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

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