Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Andrew Gelman

Winner of the 2016 De Groot Prize from the overseas Society for Bayesian Analysis

Now in its 3rd version, this vintage ebook is extensively thought of the top textual content on Bayesian equipment, lauded for its available, useful method of reading info and fixing learn difficulties. Bayesian info research, 3rd Edition maintains to take an utilized method of research utilizing updated Bayesian tools. The authors―all leaders within the records community―introduce simple thoughts from a data-analytic standpoint earlier than featuring complicated tools. through the textual content, various labored examples drawn from genuine purposes and learn emphasize using Bayesian inference in practice.

New to the 3rd Edition

  • Four new chapters on nonparametric modeling
  • Coverage of weakly informative priors and boundary-avoiding priors
  • Updated dialogue of cross-validation and predictive details criteria
  • Improved convergence tracking and potent pattern dimension calculations for iterative simulation
  • Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
  • New and revised software program code

The ebook can be utilized in 3 other ways. For undergraduate scholars, it introduces Bayesian inference ranging from first rules. For graduate scholars, the textual content offers potent present methods to Bayesian modeling and computation in statistics and comparable fields. For researchers, it presents an collection of Bayesian tools in utilized data. extra fabrics, together with information units utilized in the examples, recommendations to chose workouts, and software program directions, can be found at the book’s net page.

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