Coverart for item
The Resource Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger, Ming-Hui Chen [and others], editors

Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger, Ming-Hui Chen [and others], editors

Label
Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger
Title
Frontiers of statistical decision making and Bayesian analysis
Title remainder
in honor of James O. Berger
Statement of responsibility
Ming-Hui Chen [and others], editors
Contributor
Subject
Language
eng
Summary
  • Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis, and posterior simulation methods
  • Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance, and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers. --Book Jacket
Cataloging source
GW5XE
Dewey number
519.5/42
Illustrations
illustrations
Index
index present
LC call number
QA279.5
LC item number
.F76 2010
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1961-
http://library.link/vocab/relatedWorkOrContributorName
  • Chen, Ming-Hui
  • Berger, James O
http://library.link/vocab/subjectName
  • Berger, James O
  • Bayesian statistical decision theory
  • Berger, James O
  • MATHEMATICS
  • Bayesian statistical decision theory
  • Besliskunde
  • Methode van Bayes
Label
Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger, Ming-Hui Chen [and others], editors
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Bayesian methods for genomics, molecular and systems biology
  • Bayesian data mining and machine learning
  • Bayesian inference in political science, finance, and marketing research
  • Bayesian categorical data analysis
  • Bayesian geophysical, spatial and temporal statistics
  • Posterior simulation and Monte Carlo methods
  • Introduction
  • Objective Bayesian inference with applications
  • Bayesian decision based estimation and predictive inference
  • Bayesian model selection and hypothesis tests
  • Bayesian inference for complex computer models
  • Bayesian nonparametrics and semi-parametrics
  • Bayesian influence and frequentist interface
  • Bayesian clinical trials
Control code
667622640
Dimensions
unknown
Extent
1 online resource (xxiii, 631 pages)
Form of item
online
Isbn
9781441969446
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
978-1-4419-6943-9
Specific material designation
remote
System control number
(OCoLC)667622640
Label
Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger, Ming-Hui Chen [and others], editors
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Bayesian methods for genomics, molecular and systems biology
  • Bayesian data mining and machine learning
  • Bayesian inference in political science, finance, and marketing research
  • Bayesian categorical data analysis
  • Bayesian geophysical, spatial and temporal statistics
  • Posterior simulation and Monte Carlo methods
  • Introduction
  • Objective Bayesian inference with applications
  • Bayesian decision based estimation and predictive inference
  • Bayesian model selection and hypothesis tests
  • Bayesian inference for complex computer models
  • Bayesian nonparametrics and semi-parametrics
  • Bayesian influence and frequentist interface
  • Bayesian clinical trials
Control code
667622640
Dimensions
unknown
Extent
1 online resource (xxiii, 631 pages)
Form of item
online
Isbn
9781441969446
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
978-1-4419-6943-9
Specific material designation
remote
System control number
(OCoLC)667622640

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      38.944491 -92.326012
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