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Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations
Zhang, Shucong1; Zhou, Yong1,2
刊名JOURNAL OF MULTIVARIATE ANALYSIS
2018-05
卷号165页码:1-13
关键词Conditional quantile correlation Conditional quantile screening Ultrahigh dimensionality Varying coefficient models
ISSN号0047-259X
DOI10.1016/j.jmva.2017.11.005
英文摘要In this article, we propose a new conditional quantile correlation and establish its connection with conditional quantile regression coefficient functions. We further introduce a conditional quantile screening method based on this metric for varying coefficient models with ultrahigh dimensional features. Under some technical conditions, the proposed approach is shown to enjoy desirable theoretical properties, including ranking consistency and sure screening properties. The extent of the new method's dimensionality reduction is also qualified. To reduce the false selection rate, an iterative algorithm is proposed for improving the accuracy of variable screening. We conduct simulation studies to demonstrate that the proposed screening method can perform reasonably well, and we illustrate the proposed methodology through a real data analysis. (C) 2017 Elsevier Inc. All rights reserved.
WOS研究方向Mathematics
语种英语
出版者ELSEVIER INC
WOS记录号WOS:000428360200001
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/631]  
专题上海财经大学
通讯作者Zhang, Shucong
作者单位1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China;
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Shucong,Zhou, Yong. Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2018,165:1-13.
APA Zhang, Shucong,&Zhou, Yong.(2018).Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations.JOURNAL OF MULTIVARIATE ANALYSIS,165,1-13.
MLA Zhang, Shucong,et al."Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations".JOURNAL OF MULTIVARIATE ANALYSIS 165(2018):1-13.
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