Robust Estimation
Robust Estimation is a statistical inference method that limits the influence of outliers and model misspecification by maintaining reliable performance under small deviations from assumed conditions.
4.9K
Publications
364.6K
Citations
11.5K
Authors
2.9K
Institutions
Publications per year
2017–2026
1.2K
Variants
Robust Statistical Inference
4.9K
Robust Estimation of a Location Parameter
Peter J. Huber · The Annals of Mathematical Statistics · 1964 · 7K citations · Full text
Robust Regression and Outlier Detection
Gregory F. Piepel, Peter J. Rousseeuw, Annick M. Leroy · Technometrics · 1989 · 6.2K citations
Maximum Likelihood Estimation of Misspecified Models
Halbert White · Econometrica · 1982 · 4.1K citations
Robust Statistics: The Approach Based on Influence Functions
David Ruppert, Frank R. Hampel, Elvezio Ronchetti et al. · Technometrics · 1987 · 3.8K citations
1–5 of 4.9K
11.5K
30
h-index
25
h-index
24
h-index
20
h-index
20
h-index
1–5 of 11.5K
2.9K

Centre National de la Recherche Scientifique
Paris, France
34 h-index
178 publications
6.3K citations

University of British Columbia
Vancouver, Canada
34 h-index
120 publications
13.3K citations
Stanford University
Stanford, United States
32 h-index
107 publications
12K citations
Harvard University
Cambridge, United States
32 h-index
91 publications
8.9K citations
Princeton University
Princeton, United States
32 h-index
64 publications
8.4K citations
Massachusetts Institute of Technology
Cambridge, United States
30 h-index
79 publications
10.8K citations
Tsinghua University
Beijing, China
28 h-index
106 publications
6.4K citations

University of Minnesota
Minneapolis, United States
28 h-index
82 publications
5.7K citations
1–8 of 2.9K
233 publications · 30.1K citations
81
h-index
111 publications · 12.1K citations
50
h-index
86 publications · 19.2K citations
45
h-index
77 publications · 8.2K citations
39
h-index
81 publications · 4.8K citations
38
h-index
1–5