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Model-Free Feature Screening and FDR Control With Knockoff Features

Model-Free Feature Screening and FDR Control With Knockoff Features

This paper proposes a model-free and data-adaptive feature screening method for ultra-high dimensional datasets. The proposed method is based on the projection correlation which measures the dependence between two random vectors. This projection correlation based method does not require specifying a regression model and applies to the data in the …