Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Ed.)

By Riko Kelter. Measurement: Interdisciplinary Research and Perspectives, 2020

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ABSTRACT In this book review, I offer a chapter-by-chapter recension and general comments about Richard McElreath’s second edition of Statistical Rethinking: A Bayesian Course with Examples in R and STAN. Two examples of linear regression modeling and the generalized linear model with the book’s own R package rethinking highlight the flexibility and usefulness of considering the Bayesian approach to statistical modeling advertised by McElreath.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e08f692e9f8484d176a0e169f846179235d91b62