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The Resource Bayesian data analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

Bayesian data analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

Label
Bayesian data analysis
Title
Bayesian data analysis
Statement of responsibility
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Creator
Author
Subject
Language
eng
Summary
"Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book"--
Member of
Assigning source
Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorName
Gelman, Andrew
Dewey number
519.5/42
Illustrations
illustrations
Index
index present
LC call number
QA279.5
LC item number
.G45 2014
Literary form
non fiction
Nature of contents
bibliography
Series statement
Chapman & Hall/CRC texts in statistical science
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • MATHEMATICS / Probability & Statistics / General
Label
Bayesian data analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Instantiates
Publication
Bibliography note
Includes bibliographical references 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.
Control code
859253474
Dimensions
26 cm
Edition
Third edition.
Extent
661 pages
Isbn
9781439840955
Lccn
2013039507
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
Label
Bayesian data analysis, Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin
Publication
Bibliography note
Includes bibliographical references 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.
Control code
859253474
Dimensions
26 cm
Edition
Third edition.
Extent
661 pages
Isbn
9781439840955
Lccn
2013039507
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations

Library Locations

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      38.944491 -92.326012
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