Statistical Rethinking: A Bayesian Course With Examples In R And Stan (Chapman & Hall/Crc Texts In Statistical Science)

Richard McElreath (Author)

ISBN 10: 1482253445 / ISBN 13: 9781482253443

Published by Chapman and Hall/CRC; 1st edition (December 21, 2015), 2015

About this Item

ISBN 9781482253443. Hardback. No dustjacket. Bound in Pictorial Boards. Very Good to Near Fine condition. Tight bright attractive copy . I have thumbed the book multiple times and it appears to be unmarked. This book is Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science).

Seller Inventory # 220679

Bibliographic Details

• Title: Statistical Rethinking: A Bayesian Course With Examples In R And Stan (Chapman & Hall/Crc Texts In Statistical Science)
• Publisher: Chapman and Hall/CRC; 1st edition (December 21, 2015)
• Publication Date: 2015
• ISBN 10: 1482253445
• ISBN 13: 9781482253443
• Binding: Hardcover
• Edition: First Edition.
• Condition: Very Good
• Dust Jacket Condition: No Dustjacket
• Signed: No Signature
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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 understand enough of the details to make reasonable choices and interpretations in their own modeling work.

The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.

By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.

Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

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.