报告人：朱仲义
报告地点：数学与统计学院415报告厅
报告时间：2018年02月28日星期三15:00-16:00
邀请人：
报告摘要：
We study generalized partial functional linear models and aim at conducting inference for these models. A Bahadur representation for both functional and scalar estimates is developed, and we find the joint distribution of the scalar estimates and the functional part to be asymptotically independent. A penalized likelihood ratio test has been proposed to do hypothesis testing relating to the parameters, whose null limit distribution is verified as a normal distribution. Simulation studies provide numerical support for the asymptotic properties. Data of air pollution are used to illustrate our methodology.
主讲人简介：
2015年获得教育部自然科学二等奖,2008-2010年两次访问美国北卡州立大学，2007年访问美国University of Illinois at Urbana Champaign统计学系，1999年10月2002.12,两次访问香港大学，发在Annals of The Institute of Statistical Mathematics等杂志发表论文80余篇。
