Robust Likelihood Estimation
Robust Likelihood Estimation is a statistical inference method that belongs to the class of likelihood estimation techniques, distinguished by its capacity to yield consistent and efficient parameter estimates under deviations from model assumptions, such as outliers or misspecifications in the data distribution.
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3.8K
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155
Authors
107
Institutions
Publications per year
2017–2026
13
Parents
57
D. Fournier, John Sibert, Jacek Majkowski et al. · Canadian Journal of Fisheries and Aquatic Sciences · 1990 · 269 citations
A Practical Transfer Learning Algorithm for Face Verification
Xudong Cao, David Wipf, Fang Wen et al. · 2013 · 195 citations
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Pennsylvania State University
State College, United States
5 h-index
5 publications
422 citations

Indian Statistical Institute
Kolkata, India
3 h-index
3 publications
170 citations
Columbia University
New York, United States
3 h-index
3 publications
228 citations

Stockholm University
Stockholm, Sweden
2 h-index
2 publications
33 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
306 citations
AlbaNova
Stockholm, Sweden
2 h-index
2 publications
33 citations
Technical University of Munich
Munich, Germany
2 h-index
2 publications
33 citations

University of Padua
Padua, Italy
2 h-index
2 publications
262 citations
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4 publications · 154 citations
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3 publications · 280 citations
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2 publications · 250 citations
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2 publications · 90 citations
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2 publications · 323 citations
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