Overview
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.
Full Product Details
Author: Ming-Hui Chen ,
Peter Müller ,
Dongchu Sun ,
Keying Ye
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2010 ed.
Dimensions:
Width: 15.50cm
, Height: 3.40cm
, Length: 23.50cm
Weight: 2.400kg
ISBN: 9781441969439
ISBN 10: 1441969438
Pages: 631
Publication Date: 16 August 2010
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
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)
Author Information
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.
