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| Document Type: | Book |
|---|---|
| All Authors / Contributors: |
Andrew Gelman |
| ISBN: | 9781439840955 1439840954 |
| OCLC Number: | 859253474 |
| Description: | xiv, 667 pages : illustrations ; 27 cm. |
| 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. |
| Series Title: | Texts in statistical science. |
| Other Titles: | BDA3 |
| Responsibility: | Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin. |
| More information: |
Abstract:
Reviews
Publisher Synopsis
"The second edition was reviewed in JASA by Maiti (2004) ... we now stand 10 years later with an even more impressive textbook that truly stands for what Bayesian data analysis should be. ... this being a third edition begets the question of what is new when compared with the second edition? Quite a lot ... this is truly the reference book for a graduate course on Bayesian statistics and not only Bayesian data analysis."-Christian P. Robert, Journal of the American Statistical Association, September 2014, Vol. 109Praise for the Second Edition:... it is simply the best all-around modern book focused on data analysis currently available. ... There is enough important additional material here that those with the first edition should seriously consider updating to the new version. ... when students or colleagues ask me which book they need to start with in order to take them as far as possible down the road toward analyzing their own data, Gelman et al. has been my answer since 1995. The second edition makes this an even more robust choice.-Lawrence Joseph, Montreal General Hospital and McGill University, Statistics in Medicine, Vol. 23, 2004I am thoroughly excited to have this book in hand to supplement course material and to offer research collaborators and clients at our consulting lab more sophisticated methods to solve their research problems.-John Grego, University of South Carolina, USA... easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods-David Blackwell, University of California, Berkeley, USA "The second edition was reviewed in JASA by Maiti (2004) ... we now stand 10 years later with an even more impressive textbook that truly stands for what Bayesian data analysis should be. ... this being a third edition begets the question of what is new when compared with the second edition? Quite a lot ... this is truly the reference book for a graduate course on Bayesian statistics and not only Bayesian data analysis."-Christian P. Robert, Journal of the American Statistical Association, September 2014, Vol. 109Praise for the Second Edition... it is simply the best all-around modern book focused on data analysis currently available. ... There is enough important additional material here that those with the first edition should seriously consider updating to the new version. ... when students or colleagues ask me which book they need to start with in order to take them as far as possible down the road toward analyzing their own data, Gelman et al. has been my answer since 1995. The second edition makes this an even more robust choice.-Lawrence Joseph, Montreal General Hospital and McGill University, Statistics in Medicine, Vol. 23, 2004I am thoroughly excited to have this book in hand to supplement course material and to offer research collaborators and clients at our consulting lab more sophisticated methods to solve their research problems.-John Grego, University of South Carolina, USA... easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods-David Blackwell, University of California, Berkeley, USA Read more...
