Data Analysis: A Bayesian Tutorial

Accessible introduction to Bayesian statistics using computational methods in Python. Covers Bayes theorem, distributions, estimation, hypothesis testing, ABC, decision analysis, and MCMC with practical examples.

Allen B. Downey

Coursera companion textbook covering Bayesian inference from foundations to advanced modeling. Includes prior elicitation, hypothesis testing, regression, and model selection using R and BAS package.

Merlise Clyde, Mine Cetinkaya-Rundel, Colin Rundel, David Banks, Christine Chai, Lizzy Huang