Title Statements
- Full title :Bayesian data analysis / Andrew Gelman [and others].
Edition Statements
- Publication Date:2003.
- Edition:2nd ed
Publication Statements
- Publisher(s):Chapman and Hall/CRC Press
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:2003.
The Physical Object
- Description:xxv, 668 pages : : illustrations ; : 23 cm.
Edition Identifiers
- ISBN:158488388X, 9781584883883
- oclc:ocn223679857
- LC Classification:QA279.5
- Dewey Decimal:519.5/42
Table of Contents
pt. I. Fundamentals of Bayesian Inference -- 1. Background -- 2. Single-parameter models -- 3. Introduction to multiparameter models -- 4. Large-sample inference and frequency properties of Bayesian inference -- pt. II. Fundamentals of Bayesian Data Analysis -- 5. Hierarchical models -- 6. Model checking and improvement -- 7. Modeling accounting for data collection -- 8. Connections and challenges -- 9. General advice -- pt. III. Advanced Computation -- 10. Overview of computation -- 11. Posterior simulation -- 12. Approximations based on posterior modes -- 13. Special topics in computation -- pt. IV. Regression Models -- 14. Introduction to regression models -- 15. Hierarchical linear models -- 16. Generalized linear models -- 17. Models for robust inference -- 18. Mixture models -- 19. Multivariate models -- 20. Nonlinear models -- 21. Models for missing data -- 22. Decision analysis -- A. Standard probability distributions -- B. Outline of proofs of asymptotic theorems.
C. Example of computation in R and Bugs.
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