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Books > Science & Mathematics > Mathematics > Probability & statistics
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Frontiers of Statistical Decision Making and Bayesian Analysis - In Honor of James O. Berger (Hardcover, 2010 ed.)
Loot Price: R1,862
Discovery Miles 18 620
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Frontiers of Statistical Decision Making and Bayesian Analysis - In Honor of James O. Berger (Hardcover, 2010 ed.)
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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.
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