Bayesian Data Analysis

Third Edition

by Andrew Gelman , John B. Carlin , Hal S. Stern , David B. Dunson , Aki Vehtari , Donald B. Rubin

Bayesian Data Analysis (3rd edition, CRC Press, 2013) by Gelman, Carlin, Stern, Dunson, Vehtari and Rubin — the standard graduate reference for Bayesian modelling: single- and multi-parameter models, hierarchical models, model checking and comparison, posterior computation from MCMC to HMC and variational inference, regression, and nonparametric models.

Worked solutions to all 215 exercises live at Solutions to Gelman et al.’s Bayesian Data Analysis.

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2026-09-21 by [Andrew Gelman John B. Carlin Hal S. Stern David B. Dunson Aki Vehtari Donald B. Rubin]

Worked solutions to all 215 exercises in Bayesian Data Analysis (3rd edition) by Gelman, Carlin, Stern, Dunson, Vehtari and Rubin — probability and inference, single- and multi-parameter models, hierarchical models, model checking and comparison, MCMC and Hamiltonian Monte Carlo, variational inference, regression and generalized linear models, and nonparametric Bayesian models.

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2026-06-28

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Bayesian Data Analysis

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1. Solutions to Gelman et al.'s Bayesian Data Analysis /words/library/books/bda3/

2. Books /words/library/books/

1. Solutions to Gelman et al.'s Bayesian Data Analysis `/words/library/books/bda3/`

2. Books `/words/library/books/`