Statistical Rethinking PDF
It is an amazing Mathematics book written by Richard McElreath and published by CRC Press. This book was released on 03 January 2018 with total pages 488. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Statistical Rethinking book now. This site is like a library, Use search box to get ebook that you want.
- Author : Richard McElreath
- Release Date : 03 January 2018
- Publisher : CRC Press
- Genre : Mathematics
- Pages : 488
- ISBN 13 : 9781315362618
- Total Download : 272
- File Size : 50,7 Mb
Statistical Rethinking PDF Summary
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 Resource The 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.