Bayesian Computation with R

• Main Author: Albert, Jim. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Subjects: Statistics.; Computer simulation.; Computer science > Mathematics.; Visualization.; Mathematical optimization.; Mathematical statistics.; Optimization.; Computational Mathematics and Numerical Analysis.; Simulation and Modeling.; Statistical Theory and Methods.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-92298-0

There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for stat...

Table of Contents:

• An introduction to R
• Introduction to Bayesian thinking
• Single-parameter models
• Multiparameter models
• Introduction to Bayesian computation
• Markov chain Monte Carlo methods
• Hierarchical modeling
• Model comparison
• Regression models
• Gibbs sampling
• Using R to interface with WinBUGS.