报告题目：Feature screening of quadratic inference functions for ultrahigh dimensional longitudinal data

报告时间：2019年4月2日上午9:00

报告地点：科学会堂A710

报告摘要：This paper is concerned with feature screening for the ultrahigh dimensional additive models with longitudinal data. The quadratic inference function (QIF) is utilized to construct the marginal screening measurement which is more efficient and robust than some parametric model assumption for the working covariance matrix in each subject or experimental unit. The sure screening property is established. Monte Carlo simulation studies are conducted to examine the performance of the proposed procedure and a real data application is also conducted to evaluate and illustrate the proposed methods.

报告人简介：

来鹏，男，1979年，理学博士，副教授，研究方向：复杂数据统计推断、半参数/非参数统计等。博士毕业于中国科学院数学与系统科学研究院应用数学所。近年来先后主持国家自然科学基金数学天元基金项目、青年基金项目和面上项目各1项，江苏省自然科学基金面上项目1项，江苏省高校自然科学研究项目1项，参与主研国家、省部级项目若干。近年来在《Computational Statistics & Data Analysis》、《Biometrics》、《Journal of Multivariate Analysis》等国内外核心刊物发表论文30余篇，其中SCI收录20余篇。