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 variation, this vintage booklet is broadly thought of the best textual content on Bayesian tools, lauded for its available, sensible method of studying information and fixing learn difficulties. Bayesian info research, 3rd Edition maintains to take an utilized method of research utilizing updated Bayesian equipment. The authors―all leaders within the records community―introduce easy strategies from a data-analytic point of view prior to proposing complex tools. through the textual content, various labored examples drawn from actual purposes and study 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 measurement calculations for iterative simulation
  • Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
  • New and revised software program code

The e-book can be utilized in 3 other ways. For undergraduate scholars, it introduces Bayesian inference ranging from first ideas. For graduate scholars, the textual content provides potent present techniques to Bayesian modeling and computation in statistics and comparable fields. For researchers, it presents an collection of Bayesian equipment in utilized data. extra fabrics, together with facts 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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