Robust linear discriminant analysis using S‐estimators

By Christophe Croux, Catherine Dehon. 2001

138 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0ec397fa161ff4f8933d9bdf06943856aa9d57d8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Mia Hubert
2. Peter J. Rousseeuw
3. S. Van Aelst
4. Christophe Croux
5. Probal Chaudhuri
6. Kristel Joossens
7. Anil Kumar Ghosh
8. Peter Filzmoser

Citations in the corpus

• Influence of observations on the misclassification probability in quadratic discriminant analysis (2005, methodology): “For linear discriminant analysis, the above influence functions have already been computed (e.g. Croux and Dehon, 2001).”
• High-Breakdown Robust Multivariate Methods (2008, methodology): “Robust linear discriminant analysis based on the MCD estimator or S-estimators has been studied in Hawkins and McLachlan (1997), He and Fung (2000), Croux and Dehon (2001) and Hubert and Van Driessen (2004).”
• On Maximum Depth and Related Classifiers (2005, background): “He & Fung, 2000; Croux & Dehon, 2001; Hubert & Van Driessen, 2004), this computational simplicity is lost.”
• An Object-Oriented Framework for Robust Multivariate Analysis (2009, unknown): “…(1997) defined the minimum within-group covariance determinant estimator (MWCD) especially for the case of linear discriminant analysis; He and Fung (2000) and Croux and Dehon (2001) used S estimates; Hubert and Van Driessen (2004) applied the MCD estimates computed by the FAST-MCD algorithm.”