报告题目：

Bayesian empirical likelihood for accelerated failure time models with right censored

报告摘要：

By introducing a prior, we construct the Bayesian empirical likelihood function based on the Buckley-James estimator. By using the MH algorithm, we conduct some simulation studies to compare the performance of the Bayesian empirical likelihood and the Bayesian estimator and the B-J estimator and the empirical likelihood. The simulation results demonstrate that Bayesian empirical likelihood performs better than the Bayesian estimator and the B-J estimator and the empirical likelihood practically. Finally, we apply this proposed method to analyze a example, then obtaining a narrower confidence interval of model parameters.

报告时间：2021年7月8日上午9点

报告形式：腾讯会议

会议链接：https://meeting.tencent.com/s/uxpT5ENGllCU

会议 ID：442 815 736

主办单位：数学与统计学院