Frontiers of Statistical Decision Making and Bayesian Analysis is popular PDF and ePub book, written by Ming-Hui Chen in 2010-07-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Frontiers of Statistical Decision Making and Bayesian Analysis can be Read Online from any device for your convenience.

Frontiers of Statistical Decision Making and Bayesian Analysis Book PDF 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.

Detail Book of Frontiers of Statistical Decision Making and Bayesian Analysis PDF

Frontiers of Statistical Decision Making and Bayesian Analysis
  • Author : Ming-Hui Chen
  • Release : 24 July 2010
  • Publisher : Springer Science & Business Media
  • ISBN : 9781441969446
  • Genre : Mathematics
  • Total Page : 631 pages
  • Language : English
  • PDF File Size : 16,9 Mb

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