凯发娱乐数学论坛学术报告

Sample-wise Combined Missing Effect Models with Penalization

李启寨

（中国科凯发K8数学与系统科学研究院）

报告时间：15💻：00-16：30🌮，2021-12-1（星期三）

报告地点🧜🏼‍♂️： 沙河主楼E-404

内容简介：Modern high-dimensional statistical inference often faces the problem of missing data. In recent decades, many studies have focused on this topic and provided strategies including complete-sample analysis and imputation procedures. However, complete-sample analysis discards information of incomplete samples, while imputation procedures have accumulative errors from each single imputation. In this paper, we propose a new method, Sample-wise COmbined missing effect Models with penalization (SCOM), to deal with missing data occurring in predictors. Instead of imputing the predictors, SCOM estimates the combined effect caused by all missing data for each incomplete sample. SCOM makes full use of all available data and is robust with respect to various missing mechanisms. Theoretical studies show the oracle inequality for the proposed estimator, and the consistency of variable selection and combined missing effect selection. Simulation studies and an application to the Residential Building Data also illustrate its effectiveness.

报告人简介👩🏿‍🚀：李启寨，中国科凯发K8数学与系统科学研究院 研究员， 2001年本科毕业于中国科技大学♊️，2006年博士毕业于中国科凯发K8数学与系统科学研究院；研究方向：生物医学统计等🥙；发表及接收发表论文110余篇；现任中国数学会常务理事、全国工业统计学教学研究会常务理事等。曾主持国家自然科学基金委优秀青年科学基金、面上和青年项目；曾获美国统计学会会士 (ASA Fellow, 2020)⬆️，国际统计学会推选会员(ISI Elected Member, 2016)🦹🏻‍♀️🗃；农业部/中国农学会神农中华农业科技奖一等奖(2019)👮🏼‍♂️，中国工业与应用数学学会优秀青年学者奖(2015)💇🏿，中国科凯发K8卢嘉锡青年人才奖(2011)等。

邀请人：韩德仁