模型选择中的贝叶斯因子修正

The Updating of Bayes Factor for Model Selection

在贝叶斯统计学中,贝叶斯因子是进行模型选择的主要工具．但在计算贝叶斯因子时,要用到不正常的无信息先验,这会产生带有随机性的常数因子．本文修正了常规的贝叶斯因子,解决了这一问题．

Bayes factor is the major tool for model selection in Bayesian Statistics. But laling Bayes factor the random constant will be derived in cast of improper priors being paper,we update the usual Bayes factor to resolve this problem.