Bayesian Model Selection Using Subjective Training Samples
We study the problem of model selection using Bayesian factor, the priors of model parameters are given by utilizing the expected-posterior prior。We give a new training samples called subjective training samples, resolve the computational difficulties of marginal density, and also give the simulated algorithm of expected-posterior prior
Bayes Factor Ezpected-posterior Prior Subjective Training Samples
HUA Peng
College of Information Science and Engineering Shandong University of Science and Technology, P.R.China, 266510
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-5
2008-08-14(万方平台首次上网日期,不代表论文的发表时间)