The Dantzig Discriminant Analysis with High Dimensional Data

DOI10.1080/03610926.2013.878359zbMath1308.62135OpenAlexW2121869387MaRDI QIDQ5177600

Lu Lin, Yan-Li Zhang, Lei Huo, Yunhui Zeng

Publication date: 13 March 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.878359

zbMATH Keywords

discriminant analysissparsityDantzigFisher's rule

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• ElemStatLearn

Cites Work

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• Sparse permutation invariant covariance estimation
• Classifier technology and the illusion of progress
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
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• Median-Based Classifiers for High-Dimensional Data
• A Constrainedℓ₁Minimization Approach to Sparse Precision Matrix Estimation
• Penalized Classification using Fisher’s Linear Discriminant
• A direct approach to sparse discriminant analysis in ultra-high dimensions
• PLS Dimension Reduction for Classification with Microarray Data
• Prediction by Supervised Principal Components

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