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

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

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

Download Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2

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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 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.

rmcelreath/rethinking: Statistical Rethinking course - GitHub
This R package accompanies a course and book on Bayesian data analysis: McElreath 2020. Statistical Rethinking, 2nd edition, CRC Press. For example, a simple Gaussian model could be specified with this list of formulas: But always consult the RStan section of the website at mc-stan.org for the latest information on Statistical rethinking with brms, ggplot2, and the tidyverse
The first edition of McElreath's text now has a successor, Statistical rethinking: A Bayesian course with examples in R and Stan: Second Edition (McElreath, Statistical rethinking 2nd edition pdf download - Amity University
3 Explain how the consensus perspective differs from 2 the pluralist perspective. Statistical rethinking : a Bayesian course with examples in R and Stan Statistical Rethinking By Richard Mcelreath
Statistical Rethinking Winter 2019 Lecture 02 by Richard McElreath 2 years ago 1 hour 2019 edition of , Statistical Rethinking , : A Bayesian Course with R and Stan. Rethinking , : A Bayesian Course with Examples in R and Stan, taught at 9781482253443: Statistical Rethinking: A Bayesian Course
Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science) This specific ISBN edition is currently not available. View all copies of this Seller Inventory # 1482253445-2-1. Statistical Rethinking: Solutions (2nd Edition)
This project contains solutions to exercises and homework for the second edition of Richard McElreath's Statistical Rethinking: A Bayesian Course Using R and