Details

Subject(s)

• Bayesian statistical decision theory [Browse]
• Mathematical statistics [Browse]

Author

• Carlin, John B. [Browse]
• Stern, Hal Steven [Browse]
• Dunson, David B. [Browse]
• Vehtari, Aki [Browse]
• Rubin, Donald B. [Browse]

Series

• Texts in statistical science [More in this series]
• Chapman & Hall/CRC texts in statistical science

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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