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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

French e books free download Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2 ePub by Richard McElreath English version

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
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Table of Contents: Statistical rethinking :
Statistical rethinking : a Bayesian course with examples in R and Stan /. Bibliographic Details. Main Author: McElreath, Richard, 1973-. Format: Book.
Statistical Rethinking: A Bayesian Course with Examples in R
Book Description Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated.
Statistical Rethinking, A Bayesian Course with Examples in R
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Statistical Rethinking (2nd ed.) by McElreath, Richard (ebook)
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Statistical Rethinking: A Bayesian Course with Examples in R
More Information. ISBN13, 9780367139919. Product Name, Statistical Rethinking: A Bayesian Course with Examples in R and Stan ; Ed. 2 (Hardcover - 2020).

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