Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understan...more
I am now at Chapter 11 and couldn't help but come here to say something. I have to say this book is really idiosyncratically written and the arrangement of chapters is beyond me and sometimes gives me the impression that the author is arranging the text in this way just to show off his stats knowledge (which should never be the driving force of a textbook in my view). The clarity of the content is not very stable, sometimes I find his explanation really clear whereas other times it ...more
The first six chapters demonstrate many of the concepts in Bayesian statistics and linear models, using fully-worked examples in R. Note that the R code leans heavily on STAN (through the rstan package) and the author's own rethinking package. This makes the examples small enough to be workable, and the mechanisms employed in the rethinking package are fully explained.
Chapters 7 through 12 gradually introduce new and more powerful mo ...more
It's possible to feel the passion and knowledge of Dr. McElreath in every sentence of the book. This is one of those books that I will take with me to my lonely island and read over and over again.
While I think the book's most valuable contributions are its clear explanations of s ...more
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