KMS Of Academy of mathematics and systems sciences, CAS
| Feature screening under missing indicator imputation with non-ignorable missing response | |
Zhang, Jing1; Wang, Qihua1,2 ; Kang, Jian3
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| 2020-09-01 | |
| Source Publication | COMPUTATIONAL STATISTICS & DATA ANALYSIS
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| ISSN | 0167-9473 |
| Volume | 149Pages:12 |
| Abstract | This article develops a model-free variable screening technique with the non-ignorable missing response in ultrahigh-dimensional data analysis. Based on the common logistic model assumption of the propensity function, a novel screening procedure is proposed by borrowing hidden information of missingness indicator such that any variable screening method for ultrahigh-dimensional covariates with full data can be applied to the non-ignorable missing response case. And it is shown that the sure screening property can be kept as long as the corresponding screening method for full data is of sure screening property. The finite sample performances of the proposed method are demonstrated via some simulations and analysis of functional neuroimaging data. (C) 2020 Elsevier B.V. All rights reserved. |
| Keyword | Model-free Non-ignorable nonresponse Sure screening property Ultrahigh dimensionality Variable screening |
| DOI | 10.1016/j.csda.2020.106975 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[11871460] ; National Natural Science Foundation of China[11331011] ; National Natural Science Foundation of China (program for Creative Research Group in China)[61621003] ; Key Lab of Random Complex Structure and Data Science, CAS, China |
| WOS Research Area | Computer Science ; Mathematics |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Statistics & Probability |
| WOS ID | WOS:000531596000003 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51446 |
| Collection | 应用数学研究所 |
| Corresponding Author | Wang, Qihua |
| Affiliation | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Zhejiang, Peoples R China 3.Univ Michigan, Dept Biostat, 1415 Washington Hts, Ann Arbor, MI 48109 USA |
| Recommended Citation GB/T 7714 | Zhang, Jing,Wang, Qihua,Kang, Jian. Feature screening under missing indicator imputation with non-ignorable missing response[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2020,149:12. |
| APA | Zhang, Jing,Wang, Qihua,&Kang, Jian.(2020).Feature screening under missing indicator imputation with non-ignorable missing response.COMPUTATIONAL STATISTICS & DATA ANALYSIS,149,12. |
| MLA | Zhang, Jing,et al."Feature screening under missing indicator imputation with non-ignorable missing response".COMPUTATIONAL STATISTICS & DATA ANALYSIS 149(2020):12. |
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