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Variance ratio screening for ultrahigh dimensional discriminant analysis
Authors:Fengli Song  Baohua Shen  Guosheng Cheng
Institution:1. School of Mathematics and Statistics, Nanjing University of Information Science &2. Technology, Nanjing, China
Abstract:This article is concerned with feature screening for the ultrahigh dimensional discriminant analysis. A variance ratio screening method is proposed and the sure screening property of this screening procedure is proved. The proposed method has some additional desirable features. First, it is model-free which does not require specific discriminant model and can be directly applied to the multi-categories situation. Second, it can effectively screen main effects and interaction effects simultaneously. Third, it is relatively inexpensive in computational cost because of the simple structure. The finite sample properties are performed through the Monte Carlo simulation studies and two real-data analyses.
Keywords:Ultrahigh dimension  feature screening  discriminant analysis  variance ratio  sure screening property  
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