期刊文献+

Bayesian模型中边际似然函数的估计

The Marginal Likelihood Assessment in Bayesian Model
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摘要 贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算,因而精确地计算边际似然函数往往有困难.经常会选择一种近似方法来估计边际似然函数,本文介绍边际似然函数的几种近似估计方法. In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult. Wo must choice approximated methods for estimates of the marginal likelihood func tion.
出处 《雁北师范学院学报》 2005年第5期3-5,共3页 Journal of Yanbei Teachers College
基金 浙江省自然科学基金[Y104420] 浙江省教育厅项目[20050151]
关键词 边际似然函数 MCMC 估计量 marginal likelihood function, MCMC, estimator
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参考文献6

  • 1[1]Besag. A Candidate's formula:a curious result in Bayesian prediction[J].Biometrika,1989 76:183.
  • 2[2]Chib. Marginal likelihood from the Gibbs output[J].Amer.Statist.Assoc. 1995,90:1313-1321.
  • 3[3]Newton and Raftery. Approximate Bayesian inference with the weighted likelihood bootstrap[J].Roy.Statist.Soc.Ser.1994,B56:3-48.
  • 4[4]Gelfand and Dey .Bayesian model choice: asymptotics and exact calculations[J].Roy.Statist.Soc.Ser.1994,B56:501-514.
  • 5[5]Lewis and Raftery.Estimating Bayes factors via posterior simulation with the Laplace-Metropolis estimator[J].Amer.Statist.Assoc.1997,92:648-655.
  • 6[6]Meng and Wong.Simulating ratios of normalizing constants via a simple identity:a theoretical Exploration[J].Statist.Sinica.1996,6:831-860.

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