High dimensional discrimination analysis via a semiparametric model

Binyan Jiang, Chenlei Leng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)103-110
Number of pages8
JournalStatistics and Probability Letters
Volume110
DOIs
Publication statusPublished - 1 Mar 2016

Keywords

  • Bayes rule
  • Linear discrimination analysis
  • Monotone transformation
  • Semiparametric discriminant analysis
  • Sparsity

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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