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《Journal of Zhengzhou University(Natural Science Edition)》 2019-01
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Feature Screening for Ultrahigh Dimensional Data Based on the Conditional Interval Quantile

LAI Peng;ZHANG Jie;JI Jingwen;School of Mathematics and Statistics,Nanjing University of Information Science and Technology;  
Feature screening was an important step for model dimension reduction of ultrahigh dimensional data. Focusing on this problem,to tackle the instability of the feature screening procedure based on the conditional quantile technique when the given quantile values had small disturbance,one global quantile technique was introduced. The generalized feature screening procedure based on the conditional interval quantile was proposed. The theoretical proof and numerical simulations were completed to prove the proposed screening procedure could processe the sure screening property and,showed its finite sample properties.
【Fund】: 国家自然科学基金项目(11771215);; 江苏省自然科学基金项目(BK20161530);; 江苏省“青蓝工程”项目(2016);; 国家社科基金重大项目(16ZDA047)
【CateGory Index】: O212
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