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Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2. Richard McElreath

Statistical-Rethinking-A.pdf
ISBN: 9780367139919 | 616 pages | 16 Mb

• Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2
• Richard McElreath
• Page: 616
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780367139919
• Publisher: Taylor & Francis

Google free book download Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2

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.

Statistical Rethinking: A Bayesian Course with Examples in R
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds The second edition emphasizes the directed acyclic graph (DAG) approach to  RETHINKING
2. RICHARD MCELREATH. e package also provides tools for extracting e textbook that accompanies the rethinking package, Statistical. Rethinking: A Bayesian Course with R Examples, provides many examples of its use. which compiles the same type of formula lists into Stan models that can be fit using Hamil-. Statistical Rethinking: A Bayesian Course with Examples in R
Statistical Rethinking: A Bayesian Course with Examples in R and Stan , McElreath, Richard CRC Press, 2015, 469 pages, £67.99, hardcover  Statistical Rethinking: A Bayesian Course with Examples in R
Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Hardback) Availability. 5 Internationally sourced; usually ships 2-3 weeks  Statistical Rethinking A Bayesian Course With Examples In
2 minutes 12,178 views Lecture 10 of the Dec 2018 through March 2019 edition of , Statistical Rethinking: A Bayesian Course , with R and Stan. This lecture .

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