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
Free download ebooks in englishStatistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2 MOBI
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
Tere was an initial set of course notes, melted down So in the second edition, I put those ideas into action. Chapter 14 has an example of a phylogenetic regression, with a two applications: (1) a plain te t editor of your choice and (2) the R program Navigate your internet browser to mc-stan.org and. Review of Statistical Rethinking: A Bayesian Course with
Review of Statistical Rethinking: A Bayesian Course with Examples in R and Stan 2. Plan of Statistical Rethinking Statistical Rethinking has a similar focus to other and Hamiltonian Monte Carlo that is the basis of the Stan software (Carpenter et al. The second edition is a considerable update to the original text. By Richard McElreath: Statistical Rethinking A Bayesian
Volume 85, Issue 2. Book Review. Statistical Rethinking: A Bayesian Course with Examples in R and Stan, McElreath, Richard CRC Press, Review of Statistical Rethinking: A Bayesian Course with
Review of Statistical Rethinking: A Bayesian Course with Examples in R and Stan,. Second Edition, by Richard McElreath, Chapman and Hall, 2020. Jim Albert. Statistical Rethinking, A Bayesian Course with Examples in R
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Volume 85, Issue 2 · International Statistical Review. Book Review. Statistical Rethinking: A Bayesian Course with Examples in R and Stan The book follows a computational approach that combines explanation with R and Stan code examples. Chapter 2—Small Worlds and Large Words—and Chapter