报告题目：复合分位数方法综述

报告人：孙静博士

报告时间：2018年10月25日（星期四）19:00

报告地点：南四教学楼419

报告内容简介：Composite quantile regression and model-averaged quantile regression, both of which originate from quantile regression, have become popular and reliable alternatives to classical least squares regression recently. The talk will review the development of the two estimation methods, and especially compare their differences under linear models in detail.

欢迎感兴趣的同学积极参加。

数学与统计科学学院

2018年10月20日