学术报告
Nonparametric estimation of additive models with shape constraints-王璐（北京大学）
“2020首师大青年统计论坛”系列报告
题目：Nonparametric estimation of additive models with shape constraints
报告人：王璐（北京大学）
时间：2020年11月19日（星期四）下午15:00-16:00
地点：首都师范大学校本部新教二楼627
Abstract: Shape constrained additive models are useful in estimating production functions or analyzing disease risk where the relationship between predictors and response is known to be monotone and/or concave. We have proposed a one-step backfitted constrained polynomial spline method for estimating monotone additive models. Furthermore, we have extended the proposed constrained spline method to estimate production frontier functions, and to accommodate the missing data problem.
报告人简介：王璐，北京大学国际数学研究中心博士后。本科毕业于南开大学，博士毕业于Oregon State University，主要研究方向是非参数统计和生物统计。
联系人：周洁、胡涛
举办单位：77779193永利官网统计系 北京应用统计学会
欢迎全体师生积极参加！
