On Bayesian model and variable selection using MCMC
On Bayesian model and variable selection using MCMC
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DOI：
10.1023/a:1013164120801
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发表时间：
2002-01-01
影响因子：
2.2
通讯作者：
Ntzoufras, I
中科院分区：
文献类型：
--
作者：
Dellaportas, P;Forster, JJ;Ntzoufras, I
已经提出了几种MCMC方法来估计存在模型不确定性的模型概率和相关的“模型平均”后验分布。我们讨论，比较，开发和说明这些方法中的几个，重点是它们之间的连接。
Several MCMC methods have been proposed for estimating probabilities of models and associated 'model-averaged' posterior distributions in the presence of model uncertainty. We discuss, compare, develop and illustrate several of these methods, focussing on connections between them.