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Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Ming-Hui Chen (Ed.)
€ 137.83
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Description for Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
Hardback. As research into this subject diversifies, keeping up to date with the frontiers of the discipline becomes increasingly difficult. This book covers most of the current research challenges and opportunities, including Bayesian inference and nonparametric Bayes. Editor(s): Chen, Ming-Hui; Muller, Peter; Sun, Dongchu; Ye, Keying; Dey, Dipak K. Num Pages: 631 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 34. Weight in Grams: 2400.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Hardback
Publication date
2010
Condition
New
Weight
2400g
Number of Pages
631
Place of Publication
New York, NY, United States
ISBN
9781441969439
SKU
V9781441969439
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Ming-Hui Chen (Ed.)
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 ... Read more
Reviews for Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger
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 ... Read more