Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/44044
Title: High dimensional discrimination analysis via a semiparametric model
Authors: Jiang, B 
Leng, C
Keywords: Bayes rule
Linear discrimination analysis
Monotone transformation
Semiparametric discriminant analysis
Sparsity
Issue Date: 2016
Publisher: North-Holland
Source: Statistics and probability letters, 2016, v. 110, p. 103-110 How to cite?
Journal: Statistics and probability letters 
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.
URI: http://hdl.handle.net/10397/44044
ISSN: 0167-7152
DOI: 10.1016/j.spl.2015.11.012
Appears in Collections:Journal/Magazine Article

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