- Hardcover: 776 pages
- Publisher: Academic Press; 2 edition (November 17, 2014)
- Language: English
- ISBN-10: 0124058884
- ISBN-13: 978-0124058880
- Product Dimensions: 7.8 x 1.7 x 9.3 inches
- Shipping Weight: 3.8 pounds (View shipping rates and policies)
- Average Customer Review: 56 customer reviews
- Amazon Best Sellers Rank: #24,932 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan 2nd Edition
Use the Amazon App to scan ISBNs and compare prices.
The Amazon Book Review
Author interviews, book reviews, editors picks, and more. Read it now
Frequently bought together
Customers who bought this item also bought
"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
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, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks- t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, correlation, multiple regression, and chi-square (contingency table analysis). This book is intended for first year graduate students or advanced undergraduates. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard. Prerequisite is knowledge of algebra and basic calculus.
Browse award-winning titles. See more
Top customer reviews
There was a problem filtering reviews right now. Please try again later.
In addition, the book gives you TONS of useful programming help in R, all in downloadable files. Even better (for me at least) were the programs that helped access OpenBUGS from R (in the first edition). That is a tricky process, and I found the book's insight and programs to be very valuable.
I would also like to thank the author for reading my mind. After having worked with OpenBUGS for a little while, I was hearing good things about STAN, and I've been wanting to give it a try. Right about the time I decided that, this second edition came out, and this time it includes STAN. Woot! I'm reading through the second edition, and I'm enjoying it just as much as the first. Heck, this book is probably worth the price for the programs alone.