Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Richard Mcelreath

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Language: English

Published by Apple Academic Press Inc., 2015

1482253445 / 9781482253443

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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.…

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Title
Statistical Rethinking: A Bayesian Course with Examples in R and Stan
Author
Richard Mcelreath
Publisher
Apple Academic Press Inc.
Publication year
2015
Condition
Good
Binding
Hardback
Language
English
ISBN 10
1482253445
ISBN 13
9781482253443

World of Books Inc

Montgomery, IL, U.S.A.

4-star seller

AbeBooks seller since March 23, 2026

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