The Resource Bayesian data analysis, Andrew Gelman [and others]
Bayesian data analysis, Andrew Gelman [and others]
Resource Information
The item Bayesian data analysis, Andrew Gelman [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Bayesian data analysis, Andrew Gelman [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- 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
- Language
- eng
- Edition
- 2nd ed.
- Extent
- xxv, 668 pages
- 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
- 9781584883883
- Label
- Bayesian data analysis
- Title
- Bayesian data analysis
- Statement of responsibility
- Andrew Gelman [and others]
- Subject
-
- Análise de dados
- Análise de dados
- Bayes Theorem
- Bayes-Entscheidungstheorie
- Bayesian statistical decision theory
- Besliskunde
- Besliskunde
- Data Interpretation, Statistical -- analysis
- Data-analyse
- Data-analyse
- Datenanalyse
- Inferência bayesiana (inferência estatística)
- Inferência bayesiana (inferência estatística)
- Inferência paramétrica
- Inferência paramétrica
- Methode van Bayes
- Methode van Bayes
- Statistics
- Statistique bayésienne
- Teoria da decisão (inferência estatística)
- Teoria da decisão (inferência estatística)
- 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
- 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]
- 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]
- 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
Subject
- Análise de dados
- Análise de dados
- Bayes Theorem
- Bayes-Entscheidungstheorie
- Bayesian statistical decision theory
- Besliskunde
- Besliskunde
- Data Interpretation, Statistical -- analysis
- Data-analyse
- Data-analyse
- Datenanalyse
- Inferência bayesiana (inferência estatística)
- Inferência bayesiana (inferência estatística)
- Inferência paramétrica
- Inferência paramétrica
- Methode van Bayes
- Methode van Bayes
- Statistics
- Statistique bayésienne
- Teoria da decisão (inferência estatística)
- Teoria da decisão (inferência estatística)
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Bayesian-data-analysis-Andrew-Gelman-and/RRj4ZUaQTo0/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Bayesian-data-analysis-Andrew-Gelman-and/RRj4ZUaQTo0/">Bayesian data analysis, Andrew Gelman [and others]</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
