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.

引用

页码：232 / 237

页数：5

共 11 条

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