Frontiers of Statistical Decision Making and Bayesian Analysis
In Honor of James O. Berger
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 mi…
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Produktdetails
Weitere Autoren: Müller, Peter (Hrsg.) / Sun, Dongchu (Hrsg.) / Ye, Keying (Hrsg.) / Dey, Dipak (Hrsg.)
- ISBN: 978-1-4419-6944-6
- EAN: 9781441969446
- Produktnummer: 13915522
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 631 S.
- Plattform: PDF
- Masse: 8'717 KB
- Auflage: 2010
- Abbildungen: Bibliographie
Über den Autor
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.
4 weitere Werke von Ming-Hui (Hrsg.) Chen:
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