- Series: Chapman & Hall/CRC Texts in Statistical Science (Book 122)
- Hardcover: 487 pages
- Publisher: Chapman and Hall/CRC (December 21, 2015)
- Language: English
- ISBN-10: 1482253445
- ISBN-13: 978-1482253443
- Product Dimensions: 7 x 1 x 10.1 inches
- Shipping Weight: 2.6 pounds (View shipping rates and policies)
- Average Customer Review: 4.5 out of 5 stars See all reviews (19 customer reviews)
- Amazon Best Sellers Rank: #61,194 in Books (See Top 100 in Books)
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Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)
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"… I am quite impressed by Statistical Rethinking … I like the highly personal style with clear attempts to make the concepts memorable for students by resorting to external concepts. … it introduces Bayesian thinking and critical modeling through specific problems and spelled out R codes, if not dedicated datasets. Statistical Rethinking manages this all-inclusive most nicely … an impressive book that I do not hesitate recommending for prospective data analysts and applied statisticians!"
―Christian Robert (Université Paris-Dauphine, PSL Research University, and University of Warwick) on his blog, April 2016
"Statistical Rethinking is a fun and inspiring look at the hows, whats, and whys of statistical modeling. This is a rare and valuable book that combines readable explanations, computer code, and active learning."
―Andrew Gelman, Columbia University
"This is an exceptional book. The author is very clear that this book has been written as a course . . . Strengths of the book include this clear conceptual exposition of statistical thinking as well as the focus on applying the material to real phenomena."
―Paul Hewson, Plymouth University, 2016
About the Author
Richard McElreath is the director of the Department of Human Behavior, Ecology, and Culture at the Max Planck Institute for Evolutionary Anthropology. He is also a professor in the Department of Anthropology at the University of California, Davis. His work lies at the intersection of evolutionary and cultural anthropology, specifically how the evolution of fancy social learning in humans accounts for the unusual nature of human adaptation and extraordinary scale and variety of human societies.
Top Customer Reviews
It is very accessible -there is barely any math- and focuses on how to connect the principle behind each theory to its potential application, emphasizing scope, limitations and philosophy. I helps you to think statistically. On top of that, it shows you the applications with programming and coding.
Although I had already a decent training in stats, up to a first year of grad school, I found this book enlightening, full of insights, fun to read. There were many issues I already knew, but that I had not connected together. Definitely the best book I know -and I believe I know insanely many books on the topic- you can choose for an intermediate class on data analysis.
Most Recent Customer Reviews
Only small portion of the book uses Stan, vast majority of examples are using R and R code developed by the author.Published 18 days ago by Slawek
I have read a fair number of books on Bayesian statistics. This book standards out for the intuitive treatment of the subject, motivated by practical examples. Read morePublished 25 days ago by Stephen F. Elston
It is an expensive book for the topic is covering, but I really wished to have read it years ago. It one of the best introductory sources you can find today about statistics. Read morePublished 1 month ago by Alessandro
This is the book that I wish I had read first when learning Bayesian statistics. The highlights are:
1. Read more
Exceptional book on Bayesian Analysis presented with great clarity. The book is also an example of how text books should be authored- with each chapter/topic beginning with a story... Read morePublished 2 months ago by Amazon Customer
I just finished this book but will be using it as a wonderful resource as I ingest its manifold lessons. Read morePublished 2 months ago by ubpdqn
Exceptional book. I am going to use it in my graduate teaching.Published 3 months ago by Amazon Customer
You'll love this book if you are not a math whiz and you have been trying for a while to understand multilevel models (or just statistics in general), but nothing you've read makes... Read morePublished 4 months ago by Amazon Customer