Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7549149 | Statistics & Probability Letters | 2016 | 8 Pages |
Abstract
We propose a semiparametric linear programming discriminant (SLPD) rule for high dimensional discriminant analysis under a semiparametric model. As an extension, we further propose a two-stage SLPD (TSLPD) rule, which can have better classification performance under mild sparsity assumptions.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Binyan Jiang, Chenlei Leng,