Robust Multivariate Estimation
Robust Multivariate Estimation is a statistical methodology that belongs to the class of multivariate estimation techniques, distinguished by its ability to provide reliable and stable parameter estimates in the presence of outliers, deviations from distributional assumptions, or other forms of data contamination.
152
Publications
10.6K
Citations
321
Authors
203
Institutions
Publications per year
2017–2026
26
Parents
152
Robust $M$-Estimators of Multivariate Location and Scatter
Ricardo A. Maronna · The Annals of Statistics · 1976 · 947 citations · Full text
A Distribution-Free $M$-Estimator of Multivariate Scatter
David E. Tyler · The Annals of Statistics · 1987 · 657 citations · Full text
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203
University of California, Davis
Davis, United States
7 h-index
12 publications
1.1K citations
Universidad de Buenos Aires
Buenos Aires, Argentina
6 h-index
8 publications
537 citations
Université Libre de Bruxelles
Brussels, Belgium
5 h-index
8 publications
441 citations

University of British Columbia
Vancouver, Canada
4 h-index
7 publications
509 citations

Universidad Carlos III de Madrid
Madrid, Spain
4 h-index
6 publications
164 citations

University of Minnesota
Minneapolis, United States
4 h-index
8 publications
592 citations
Fundación Ciencias Exactas y Naturales
Buenos Aires, Argentina
3 h-index
3 publications
190 citations
KU Leuven
Leuven, Belgium
3 h-index
8 publications
672 citations
1–8 of 203
11 publications · 2.6K citations
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10 publications · 673 citations
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CSDA · 7 publications · 258 citations
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6 publications · 181 citations
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5 publications · 192 citations
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