Frontiers of Statistical Decision Making and Bayesian Analysis In Honor of James O. Berger /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Chen, Ming-Hui. (Editor), M<U+00fc>ller, Peter. (Editor), Sun, Dongchu. (Editor), Ye, Keying. (Editor), Dey, Dipak K. (Editor)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2010.
• Subjects: Statistics.; Mathematical statistics.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-6944-6

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. Whi...

Table of Contents:

• Introduction
• Objective Bayesian inference with applications
• Bayesian decision based estimation and predictive inference
• Bayesian model selection and hypothesis tests
• Bayesian computer models
• Bayesian nonparametrics and semi-parametrics
• Bayesian case influence and frequentist interface
• Bayesian clinical trials
• Bayesian methods for genomics, molecular, and systems biology
• Bayesian data mining and machine learning
• Bayesian inference in political and social sciences, finance, and marketing
• Bayesian categorical data analysis
• Bayesian geophysical, spatial, and temporal statistics
• Posterior simulation and Monte Carlo methods.