Bayesian data analysis / Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin.

Author
Gelman, Andrew [Browse]
Format
Book
Language
English
Εdition
Third edition.
Published/​Created
  • Boca Raton : CRC Press, [2013].
  • ©2013.
Description
xiv, 667 pages : illustrations ; 27 cm.

Details

Subject(s)
Author
Series
Notes
  • "Version date: 20150505"--T.p. verso.
  • "A Chapman and Hall Book."
Bibliographic references
Includes bibliographical references (pages 609-642) and indexes.
Contents
Part I: Fundamentals of Bayesian inference. Probability and inference -- Single-parameter models -- Introduction to multiparameter models -- Asymptotics and connections to non-Bayesian approaches -- Hierarchical models -- Part II: Fundamentals of Bayesian data analysis. Model checking -- Evaluating, comparing, and expanding models -- Modeling accounting for data collection -- Decision analysis -- Part III: Advanced computation. Introduction to Bayesian computation -- Basics of Markov chain simulation -- Computationally efficient Markov chain simulation -- Modal and distributional approximations -- Part IV: Regression models. Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Models for missing data -- Part V: Nonlinear and nonparametric models. Parametric nonlinear models -- Basis function models -- Gaussian process models -- Finite mixture models -- Dirichlet process models -- A. Standard probability distributions -- B. Outline of proofs of limit theorems -- Computation in R and Stan.
Other title(s)
BDA3
ISBN
  • 9781439840955
  • 1439840954
LCCN
2013039507
OCLC
950574272
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