Supplementary material of “regularized linear programming discriminant rule with folded concave penalty for ultrahigh-dimensional data”

HIGHLIGHTS

• who: from the School of Mathematical Sciences, Dalian University of Technology , Department of Statistics, The Pennsylvania State University , Meta , Institute of Statistics and Big Data, Renmin University of China , Department of Biostatistics, School of Public Health and Beijing International Center for Mathematical Research, Peking University have published the Article: Supplementary Material of u201cRegularized Linear Programming Discriminant Rule with Folded Concave Penalty for Ultrahigh-dimensional Datau201d, in the Journal: (JOURNAL)
• what: Next the authors show that Pi u2192 0, i=1, 2, 3 as n u2192 u221e.

SUMMARY

Since |β̂joracle | ≥ ∥βA ∥min . . .

 



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