CRC Press Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples. This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses. Review "This wide scope of the volume reflects very accurately on the present role of Bayesian analysis in scientific inference, be it by statisticians, computer scientists, or data analysts. ... I thus warmly congratulate the editors for putting this exciting volume together ..."--From the Foreword by Christian P. Robert About the Author Satyanshu K. Upadhyay is a professor and head of the Department of Statistics at Banaras Hindu University. Umesh Singh is a professor in the Department of Statistics at Banaras Hindu University. Dipak K. Dey is a distinguished professor in the Department of Statistics at the University of Connecticut. Appaia Loganathan is a professor in the Department of Statistics at Manonmaniam Sundaranar University.