Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)
- McElreath, Richard
- Chapman and Hall/CRC
- Mar 16, 2020
Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan is a comprehensive guide for making inferences from data. It presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The book emphasizes understanding assumptions and how assumptions are reflected in code and integrates working code into the main text. The second edition contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. Overall, this book is an excellent resource for those interested in model-based statistics and Bayesian inference.