Bayesian data analysis
Book • 1995
Bayesian Data Analysis, Third Edition, is widely regarded as the leading text on Bayesian methods.
It offers an applied approach to data analysis, introducing basic concepts from a data-analytic perspective before presenting advanced methods.
The book includes numerous worked examples from real applications and research, emphasizing the practical use of Bayesian inference.
New to this edition are chapters on nonparametric modeling, weakly informative priors, and advanced computational methods like Hamiltonian Monte Carlo.
It offers an applied approach to data analysis, introducing basic concepts from a data-analytic perspective before presenting advanced methods.
The book includes numerous worked examples from real applications and research, emphasizing the practical use of Bayesian inference.
New to this edition are chapters on nonparametric modeling, weakly informative priors, and advanced computational methods like Hamiltonian Monte Carlo.
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