Bayesian图解模型--直线回归-东南大学学报医学版

Bayesian图解模型--直线回归

单位：东南大学公共卫生学院卫生统计学教研室

分类号：O212, O213

出版年·卷·期（页码）：2001·20·第三期（155-157）

摘要：

Bayesian图解模型是综合Bayesian理论、图论的观点及MCMC模拟方法的复合模型.现通过具体实例系统地介绍该模型的基本思想、建模求解及推论过程,体现Bayesian图解模型的优点与不足.

Bayesian graphical modelling combines Bayesian methods,graphical models and MCMC method in an applied complex modelling.Through an example,it was showed how graphical models and MCMC method provide a direct path between model specification and computational means of making inferences on that model,and introduce its advantages and disadvantages.

参考文献：

[1] SPIEGELHALTER D J. Bayesian graphical modelling:a case-study in monitoring health outcomes, 1998(1)
[2] Smith A F, ROBERTS G O. Bayesin computation via the gibbs sampling and related markov chain monte carlo methods, 1993(1)
[3] Gilks W R, RICHARDSON S, SPIEGELHALTER D J. Markov chain monte carlo on practice, 1996
[4] 张尧庭, 陈汉峰. 贝叶斯统计推断, 1996
[5] Whittaker J. Graphical models in apllied multivariate analysis, 1990
[6] 郭祖超. 医学统计学, 1999

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