Items related to Frontiers of Statistical Decision Making and Bayesian...
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger - Hardcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Ming-Hui Chen is Professor of Statistics at the University of Connecticut; Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut; Peter Müller is Professor of Biostatistics at the University of Texas M. D. Anderson Cancer Center; Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia; and Keying Ye is Professor of Statistics at the University of Texas at San Antonio.
Review
From the reviews:
“The book is a ‘Festschrift’ in honour of Jim Berger’s 60th birthday that was celebrated at a conference in spring 2010 in Texas. ... All the papers are written by experts in their fields and represent the current state of the art in Bayesian modelling. ... for those who are interested in Bayesian modelling, there are some interesting aspects to be detected. ... the book is aimed for advanced researchers in Bayesian analyses.” (Wolfgang Polasek, International Statistical Review, Vol. 79 (3), 2011)
“This collection contains invited papers by statisticians to honor and acknowledge the contributions of James O. Berger to Bayesian statistics. These papers present recent surveys and developments within the area of statistical decision theory and Bayesian statistics and related topics. ... Each chapter ... provides a detailed treatment of the topic under consideration. ... can be useful for graduate students and researchers from diverse fields of statistics and related disciplines. ... this edited volume contains a wealth of knowledge, wisdom and information on Bayesian statistics.” (Technometrics, Vol. 53 (2), May, 2011)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2010
- ISBN 10 1441969438
- ISBN 13 9781441969439
- BindingHardcover
- LanguageEnglish
- Number of pages654
- EditorChen Ming-Hui, Müller Peter, Sun Dongchu, Ye Keying, Dey Dipak K.
Other Popular Editions of the Same Title
Search results for Frontiers of Statistical Decision Making and Bayesian...
Seller Image
FRONTIERS OF STATISTICAL DECISION MAKING AND BAYESIAN ANALYSIS : IN HONOR OF JAMES O. BERGER
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Octavo, xxiii, 631 pages. In Good plus condition. Spine is yellow with black print. Boards in glossy illustrated paper. Bump to spine tail. Illustrated: b&w graphs, charts. Note: Shelved in Netdesk Column F, ND-F. 1377620. FP New Rockville Stock. Seller Inventory # 1377620
Quantity: 1 available
Stock Image
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2411530297202
Quantity: Over 20 available
Stock Image
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781441969439_new
Quantity: Over 20 available
Seller Image
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Published by
SPRINGER NATURE Aug 2010, 2010
ISBN 10: 1441969438
ISBN 13: 9781441969439
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 631 pp. Englisch. Seller Inventory # 9781441969439
Quantity: 2 available
Seller Image
Frontiers of Statistical Decision Making and Bayesian Analysis
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A concise update on the topics which are the currently most active areas of Bayesian researchWritten by the experts and the very contributors to this researchMakes diverse research areas accessible to any reader who is familiar with the basics of the Bayesi. Seller Inventory # 4176195
Quantity: Over 20 available
Seller Image
Frontiers of Statistical Decision Making and Bayesian Analysis : In Honor of James O. Berger
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781441969439
Quantity: 2 available
Stock Image
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Hardcover. Condition: Like New. Like New. book. Seller Inventory # ERICA79614419694386
Quantity: 1 available