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Simulation-based bayesian inference using BUGS
被引：0
作者：
Ching-fan Sheu
Suzanne L. O’Curry
机构：
[1] DePaul University,Department of Psychology
来源：
Behavior Research Methods, Instruments, & Computers
|
1998年
/
30卷
关键词：
Bayesian Inference;
Gibbs Sampling;
Markov Chain Monte Carlo Method;
Bayesian Computation;
Markov Chain Monte Carlo Procedure;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We illustrate the application of BUGS, a Bayesian computer program, with two examples. The algorithm used in the program is a popular Markov chain Monte Carlo procedure called Gibbs sampling. Bayesian analysis based on simulation has been applied to a wide range of complex problems (Gilks, Richardson, & Spiegelhalter, 1996). The availability of a general purpose program like BUGS should facilitate important applications of Bayesian inference in psychological research.
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页码：232 / 237
页数：5
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