Huber Estimation
Huber Estimation is a robust statistical method that belongs to the class of M-estimators and is distinguished by its use of a loss function combining quadratic behavior for small residuals with linear behavior for large residuals to reduce the influence of outliers.
149
Publications
10.7K
Citations
279
Authors
166
Institutions
Publications per year
2017–2026
45
149
A Distribution-Free $M$-Estimator of Multivariate Scatter
David E. Tyler · The Annals of Statistics · 1987 · 657 citations · Full text
Leonard A. Stefanski, Dennis D. Boos · The American Statistician · 2002 · 482 citations · Full text
1–5 of 149
279
6
h-index
5
h-index
4
h-index
4
h-index
4
h-index
1–5 of 279
166
Virginia Tech
Blacksburg, United States
9 h-index
12 publications
776 citations
University of California San Diego
San Diego, United States
7 h-index
8 publications
488 citations
Princeton University
Princeton, United States
5 h-index
8 publications
638 citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
274 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
933 citations
Fudan University
Shanghai, China
4 h-index
6 publications
587 citations
University of Copenhagen
Copenhagen, Denmark
4 h-index
4 publications
274 citations

Aarhus University
Aarhus, Denmark
4 h-index
4 publications
274 citations
1–8 of 166
11 publications · 4.3K citations
11
h-index
10 publications · 1.1K citations
11
h-index
6 publications · 296 citations
7
h-index
5 publications · 161 citations
5
h-index
4 publications · 149 citations
4
h-index
1–5