[Kindle] Statistical Rethinking: A Bayesian

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

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

Free ebook share download Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2 in English by Richard McElreath

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.

Publications | Richard McElreath
I post occasional, informal short pieces on statistics and evolutionary Statistical Rethinking: A Bayesian Course with Examples in R and Stan, 2nd Edition (2 ed  Statistical Rethinking (2nd ed.) by McElreath, Richard (ebook)
Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd ed.) (Chapman & Hall/CRC Texts in Statistical Science series) by Richard CRC Press; March 2020; ISBN: 9780429642319; Edition: 2; Title: Statistical Rethinking  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. rmcelreath/statrethinking_winter2019: Statistical - GitHub
Statistical Rethinking: A Bayesian Course Using R and Stan. Winter 2018/2019. Instructor: Richard McElreath. Location: Max Planck Institute for Evolutionary  Statistical Rethinking: A Bayesian Course with Examples in R
Statistical Rethinking: A Bayesian Course with Examples in R and Stan Richard McElreath CRC August 2017; International Statistical Review 85(2):379-380. Statistical Rethinking: A Bayesian Course with Examples in R
Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Ed.) Reviewed by Riko Kelter  Sell, Buy or Rent Statistical Rethinking: A Bayesian Course
Statistical Rethinking: A Bayesian Course with Examples in R and STAN Book details. ISBN-13: 9780367139919. ISBN-10: 036713991X. Edition: 2. Statistical Rethinking: A Bayesian Course with - Amazon.com
Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science) 2nd Edition · Frequently bought 

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