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 greatly thought of the major textual content on Bayesian tools, lauded for its available, sensible method of reading info and fixing study difficulties. Bayesian facts research, 3rd Edition keeps to take an utilized method of research utilizing updated Bayesian tools. The authors―all leaders within the facts community―introduce simple innovations from a data-analytic standpoint earlier than providing complicated tools. through the textual content, various labored examples drawn from actual functions and examine 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 powerful pattern dimension calculations for iterative simulation
  • Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation
  • New and revised software program code

The booklet can be utilized in 3 other ways. For undergraduate scholars, it introduces Bayesian inference ranging from first rules. For graduate scholars, the textual content provides potent present ways to Bayesian modeling and computation in records and similar fields. For researchers, it presents an collection of Bayesian tools in utilized information. extra fabrics, together with information units utilized in the examples, ideas to chose routines, and software program directions, can be found at the book’s internet page.

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