Description: Frontiers of Statistical Decision Making and Bayesian Analysis, Hardcover by Chen, Ming-Hui (EDT); Dey, Dipak K. (EDT); Muller, Peter (EDT); Sun, Dongchu (EDT); Ye, Keying (EDT), ISBN 1441969438, ISBN-13 9781441969439, Like New Used, Free shipping in the US 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 th 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 th 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. Th 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.
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Book Title: Frontiers of Statistical Decision Making and Bayesian Analysis
Number of Pages: Xxiii, 631 Pages
Publication Name: Frontiers of Statistical Decision Making and Bayesian Analysis : in Honor of James O. Berger
Language: English
Publisher: Springer New York
Subject: Probability & Statistics / General, Numerical Analysis, Probability & Statistics / Bayesian Analysis
Publication Year: 2010
Type: Textbook
Item Weight: 84.7 Oz
Author: Peter Müller
Subject Area: Mathematics
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
