Surrogate space based dimension reduction for nonignorable nonresponse

doi:10.1016/j.csda.2021.107374

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	Surrogate space based dimension reduction for nonignorable nonresponse
	Deng, Jianqiu 1; Yang, Xiaojie 3; Wang, Qihua 1,2
刊名	COMPUTATIONAL STATISTICS & DATA ANALYSIS
	2022-04-01
卷号	168 页码:18
关键词	Sufficient dimension reduction Nonignorable nonresponse Cumulative mean estimation Exponential tilting model Regression calibration Surrogate subspace
ISSN号	0167-9473
DOI	10.1016/j.csda.2021.107374
英文摘要	Sufficient dimension reduction (SDR) for nonignorable nonresponse poses a challenge and the literature about this issue is very rare. In the nonignorable case, the SDR methods developed for ignorable missing data generally yield serious estimation bias and thus are invalid. A regression-calibration-based cumulative mean estimation (RC-CUME) procedure is proposed to recover the central subspace (CS) with the aid of a surrogate subspace. Asymptotic properties of the RC-CUME are investigated. A modified BIC-type criterion is used to determine the structural dimension of the CS. Some extensions to other SDR methods are presented. Simulation studies are conducted to access the finite-sample performance of the proposed RC-CUME approach, and a real data set is analyzed for illustration. (C) 2021 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[11871460] ; National Natural Science Foundation of China (project for Innovative Research Group in China)[61621003] ; Key Lab of Random Complex Structure and Data Science, CAS ; Basic Research Programs of Yunnan Provincial Science and Technology Department[202101AU070091]
WOS研究方向	Computer Science ; Mathematics
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000721109600002
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/59622]
专题	应用数学研究所
通讯作者	Wang, Qihua
作者单位	1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 2.Zhejiang Gongshang Univ, Hangzhou, Peoples R China 3.Yunnan Univ Finance & Econ, Sch Stat & Math, Kunming, Yunnan, Peoples R China
推荐引用方式 GB/T 7714	Deng, Jianqiu,Yang, Xiaojie,Wang, Qihua. Surrogate space based dimension reduction for nonignorable nonresponse[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2022,168:18.
APA	Deng, Jianqiu,Yang, Xiaojie,&Wang, Qihua.(2022).Surrogate space based dimension reduction for nonignorable nonresponse.COMPUTATIONAL STATISTICS & DATA ANALYSIS,168,18.
MLA	Deng, Jianqiu,et al."Surrogate space based dimension reduction for nonignorable nonresponse".COMPUTATIONAL STATISTICS & DATA ANALYSIS 168(2022):18.