Sign and Rank Covariance Matrices: Statistical Properties and Application to Principal Components Analysis

By Christophe Croux, Esa Ollila, Hannu Oja. 2002

58 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Geometry and Topology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/14bd821d2b1a0a979eed6ff9e6c29c93ca6bd003

How researchers see this paper

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

In Analytical Chemistry

1. Roland Fried
2. Daniel Vogel
3. Fang Han
4. Han Liu

In Geometry and Topology

1. Roland Fried
2. Daniel Vogel
3. Fang Han
4. Han Liu

In Statistics and Probability

1. Fang Han
2. Roland Fried
3. Daniel Vogel
4. Han Liu
5. Mathias Drton
6. Jianqing Fan
7. Lingzhou Xue
8. Zhao Ren

Citations in the corpus

• ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions (2013, background): “It is known (see, for example, Chapter 3 in Bilodeau and Brenner (1999)) that”
• Elliptical graphical modelling (2011, methodology): “)), and thus its use has been proposed for such kind of multivariate analysis that is based on this information only, most notably principal component analysis, (Marden, 1999; Locantore et al., 1999; Croux et al., 2002; Gervini, 2008).”