The book Statistical Rethinking: A Bayesian Course with Examples in R and STAN, 2nd Edition (9780367139919) by Richard McElreath stays as a general reference to readers interested in deeply understanding Bayesian data analysis. It goes deep into developing statistical methods, and this softcover edition fits perfectly for students and professionals alike in the fields of statistics, data science, and other related segments.
Richard McElreath steers this mirror clearly with the new edition of the book titled Statistical Rethinking: A Bayesian Course with Examples in R and STAN. The teaching in the book is intuitive, hands-on, and breaks down sometimes complex Bayesian concepts into smaller and digestible pieces, including making the material accessible. Ideas are developed step by step, with many real examples and practical applications, making it quite easy for readers to understand and apply statistical techniques for their research or professional uses. This book deals with the running and visualization of Bayesian models using the R programming language and STAN.
Some of the distinguishing features of the book Statistical Rethinking: A Bayesian Course with Examples in R and STAN (9780367139919) By Richard McElreath, are its core usage of useful case studies and hands-on interactive coding exercises that will engage readers in experimenting and actively learning to reinforce principles throughout. This second edition revises code examples, updates case studies, and adds learning resources to make sure readers use the most current methodologies in Bayesian analysis.
Statistical Rethinking: A Bayesian Course with Examples in R and STAN, 2nd Edition is a combined theoretical and practical guide, thus being a regular textbook on Bayesian statistics for participants who want either to learn this discipline for the first time or extend their knowledge in the field. ISBN 9780367139919 ensures that you are accessing the right edition packed with Richard McElreath’s expert insights and educational tools.
Whether you are an advanced student, a researcher, or a professional statistician, the book entitled “Statistical Rethinking: A Bayesian Course with Examples in R and STAN” (ISBN 9780367139919) by Richard McElreath will turn out to be one of your most important resources and, simultaneously, one of your companions while working your way through Bayesian statistics.
Tee –
The Best Statistics Book. Imminently readable. Content rich. Highly recommended.
Lindsey Riffle –
Good content. Easy to read. Good book for my class