Robustness of Principal Component Analysis with Spearman’s Rank Matrix
Author:
Funder
Japan Society for the Promotion of Science London
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42519-023-00358-z.pdf
Reference18 articles.
1. Anderson TW (2003) An introduction to multivariate statistical analysis. Wiley-Interscience
2. Croux C, Haesbroeck G (2000) Principal component analysis based on robust estimators of the covariance or correlation matrix: influence functions and efficiencies. Biometrika 87
3. Fang KT, Kotz S, Ng KW (2018) Symmetric multivariate and related distributions. Taylor & Francis
4. Hampel FR, Ronchetti EM, Rousseeuw PJ, Stahel WA (1986) Robust statistics?: the approach based on influence functions. Wiley
5. Han F, Liu H (2018) Eca: high-dimensional elliptical component analysis in non-gaussian distributions. J Am Stat Assoc 113:252–268
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