Bayesian Computation with R
出版社 Springer New York
DOI 10.1007/978-0-387-92298-0
版权 2009
ISBN 978-0-387-92297-3 (Print) 978-0-387-92298-0 (Online)
学科分类 数学和统计学
学科 Statistics, Optimization, Visualization, Computational Mathematics and Numerical Analysis, Simulation and Modeling, Statistical Theory and Methods
SpringerLink Date 2009 年4月20日
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