Bayesian Computation with R

• Corporate Author: SpringerLink (Online service)
• Other Authors: Albert, Jim (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2007.
• Series: Use R!
• Subjects: Statistics.; Computer simulation.; Computer mathematics.; Mathematics.; Visualization.; Mathematical optimization.; Statistics and Computing/Statistics Programs.; Simulation and Modeling.; Computational Mathematics and Numerical Analysis.; Optimization.

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
• to Bayesian Thinking
• Single-Parameter Models
• Multiparameter Models
• to Bayesian Computation
• Markov Chain Monte Carlo Methods
• Hierarchical Modeling
• Model Comparison
• Regression Models
• Gibbs Sampling
• Using R to Interface with WinBUGS.