Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger

Resource Information

The work Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books, http://bibfra.me/vocab/marc/festschrift.

Label

Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger

Title remainder

in honor of James O. Berger

Statement of responsibility

Ming-Hui Chen [and others], editors

Contributor

• Berger, James O
• Chen, Ming-Hui, 1961-

Subject

• Bayesian statistical decision theory
• Bayesian statistical decision theory
• Bayesian statistical decision theory
• Berger, James O
• Berger, James O
• Berger, James O
• Besliskunde
• Besliskunde
• MATHEMATICS -- Probability & Statistics | General
• Methode van Bayes
• Methode van Bayes

Language

eng

Summary

• 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. --Book Jacket

Cataloging source

GW5XE

Dewey number

519.5/42

Illustrations

illustrations

Index

index present

LC call number

QA279.5

LC item number

.F76 2010

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography