Introduction

  • Ming-Hui Chen
  • Dipak K. Dey
  • Peter Müller
  • Dongchu Sun
  • Keying Ye
Chapter

Abstract

In the years since the 1985 publication of Statistical Decision Theory and Bayesian Analysis by James Berger, there has been an enormous increase in the use of Bayesian analysis and decision theory in statistics and science. The rapid expansion in the use of Bayesian methods is due in part to substantial advances in computational and modeling techniques, and Bayesian methods are now central in many branches of science. The aim of this book is to review current research frontiers in Bayesian analysis and decision theory. It is impossible to provide an exhaustive discussion of all current research in Bayesian statistics, so the book instead summarizes current research frontiers by providing representative examples of research challenges chosen from a wide variety of areas.

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Copyright information

© Springer New York 2010

Authors and Affiliations

  • Ming-Hui Chen
    • 1
  • Dipak K. Dey
    • 1
  • Peter Müller
    • 2
  • Dongchu Sun
    • 3
  • Keying Ye
    • 4
  1. 1.Department of StatisticsUniversity of ConnecticutStorrsUSA
  2. 2.Department of BiostatisticsThe University of Texas, M. D. Anderson Cancer CenterHoustonUSA
  3. 3.Department of StatisticsUniversity of Missouri-ColumbiaColumbiaUSA
  4. 4.Department of Management Science and Statistics, College of BusinessUniversity of Texas at San AntonioSan AntonioUSA

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