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Showing 1 to 1 of 1 for “"ultra-high dimensional variable selection"”.
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Robust Feature Screening Procedures for Mixed Type of Data
High dimensional data have been frequently collected in many fields of scientific research and technological development. The traditional idea of best subset selection methods, which use penalized L_0 regularization, is computationally too expensive for many modern statistical applications. A large …