期刊名称:Sankhya. Series A, mathematical statistics and probability
印刷版ISSN:0976-836X
电子版ISSN:0976-8378
出版年度:2003
卷号:65
期号:01
页码:43--55
出版社:Indian Statistical Institute
摘要:In this paper we propose a method to calculate the posterior probability of a nondecomposable graphical Gaussian model. Our proposal is based on a new device to sample from Wishart distributions, conditional on the graphical constraints. As a result, our methodology allows Bayesian model selection within the {\em whole} class of graphical Gaussian models, including nondecomposable ones.
关键词:Importance sampling, partial correlation coefficient, sampling from conditional Wishart distibution.