Research Catalog

Title

Bayesian data analysis / Andrew Gelman ... [et al.].

Publication

Boca Raton, Fla. : Chapman & Hall/CRC, c2004.

Items in the Library & Off-site

Details

Additional Authors

Gelman, Andrew

Description

xxv, 668 p. : ill., maps; 25 cm.

Summary

The second edition of Bayesian Data Analysis continues to emphasize practice over theory, clearly describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide detailed guidance on all aspects of Bayesian data analysis and include many examples of real statistical analyses, based on their own research.

Series Statement

Texts in statistical science

Uniform Title

Texts in statistical science.

Subject

• Statistics
• Bayesian statistical decision theory
• Statistique bayésienne
• Methode van Bayes
• Data-analyse
• Besliskunde
• Teoria da decisão (inferência estatística)
• Inferência bayesiana (inferência estatística)
• Inferência paramétrica
• Análise de dados
• Datenanalyse
• Bayes-Entscheidungstheorie
• Bayes-Verfahren
• Data Interpretation, Statistical > analysis
• Bayes Theorem

Bibliography (note)

• Includes bibliographical references (p. 611-646) and indexes.

Processing Action (note)

• committed to retain

Contents

Part I: Fundamentals of Bayesian inference -- Background -- Single-parameter models -- Introduction to multiparameter models -- Large-sample inference and frequency properties of Bayesian inference -- Part II: Fundamentals of Bayesian data analysis -- Hierarchical models -- Model checking and improvement -- Modeling accounting for data collection -- Connections and challenges -- General advice -- Part III: Advanced computation -- Overview of computation -- Posterior simulation -- Approximations based on posterior modes -- Special topics in computation -- Part IV: Regression models -- Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Part V: Specific models and problems -- Mixture models -- Multivariate models -- Nonlinear models -- Models for missing data -- Decision analysis -- Appendixes. Standard probability distributions -- Outline of proofs of asymptotic theorems -- Example of computation in R and Bugs.

ISBN

• 158488388X (alk. paper)
• 9781584883883 (alk. paper)
• 9780203491287 (electronic bk.)
• 0203491289 (electronic bk.)

LCCN

^^2003051474

OCLC

• 51991499
• SCSB-11015610

Owning Institutions

Harvard Library