Coverart for item
The Resource Bayesian data analysis, Andrew Gelman [and others]

Bayesian data analysis, Andrew Gelman [and others]

Label
Bayesian data analysis
Title
Bayesian data analysis
Statement of responsibility
Andrew Gelman [and others]
Contributor
Subject
Language
eng
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
Member of
Cataloging source
DLC
Dewey number
519.5/42
Illustrations
  • illustrations
  • maps
Index
index present
LC call number
QA279.5
LC item number
.B386 2004
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Gelman, Andrew
Series statement
Texts in statistical science
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Bayes Theorem
  • Data Interpretation, Statistical
  • Statistics
  • 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
  • Análise de dados
  • Besliskunde
  • Data-analyse
  • Inferência bayesiana (inferência estatística)
  • Inferência paramétrica
  • Methode van Bayes
  • Teoria da decisão (inferência estatística)
Label
Bayesian data analysis, Andrew Gelman [and others]
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages 611-646) and indexes
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Control code
51991499
Dimensions
25 cm
Edition
2nd ed.
Extent
xxv, 668 pages
Isbn
9781584883883
Isbn Type
(alk. paper)
Lccn
2003051474
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations, maps
System control number
(OCoLC)51991499
Label
Bayesian data analysis, Andrew Gelman [and others]
Publication
Bibliography note
Includes bibliographical references (pages 611-646) and indexes
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Control code
51991499
Dimensions
25 cm
Edition
2nd ed.
Extent
xxv, 668 pages
Isbn
9781584883883
Isbn Type
(alk. paper)
Lccn
2003051474
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations, maps
System control number
(OCoLC)51991499

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
Processing Feedback ...