Bayesian data analysis

Bayesian data analysis

by Gelman, Andrew

Type Book
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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.

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Title Statements

  • Full title :Bayesian data analysis / Andrew Gelman [and others].

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.

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Edition Statements

  • Publication Date:©2004.
  • Edition:2nd ed

Publication Statements

  • Publisher(s):Chapman & Hall/CRC
  • Place of Publication:Boca Raton, Fla
  • Language:eng
  • Publication Date:©2004.

The Physical Object

  • Description:xxv, 668 pages : : illustrations, maps ; : 25 cm

Edition Identifiers

  • ISBN:158488388X, 9781584883883
  • oclc:ocm51991499
  • LC Classification:QA279.5
  • Dewey Decimal:519.5/42

Table of 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.

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Subjects

Análise de dados Bayes Theorem Bayes-Entscheidungstheorie Bayes-Verfahren Bayesian statistical decision theory Besliskunde Data-analyse Datenanalyse Decision Theory Inferência bayesiana (inferência estatí… Inferência paramétrica mathematics Methode van Bayes Statistics Teoria da decisão (inferência estatísti… Théorème de Bayes Théorie de la décision bayésienne

Writers

Gelman, Andrew

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