Penalized Maximum Likelihood Estimation
Penalized Maximum Likelihood Estimation is a statistical estimation method that extends maximum likelihood estimation by incorporating a penalty term into the likelihood function to regularize parameter estimates and prevent overfitting.
296
Publications
33.6K
Citations
680
Authors
351
Institutions
Publications per year
2017–2026
56
296
1–5 of 296
680
9
h-index
6
h-index
5
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4
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4
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1–5 of 680
351
University of Michigan
Ann Arbor, United States
15 h-index
33 publications
5.3K citations
University of California, Berkeley
Berkeley, United States
9 h-index
11 publications
3.8K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
9 publications
610 citations
Columbia University
New York, United States
7 h-index
11 publications
2K citations
University of Washington
Seattle, United States
6 h-index
10 publications
1.5K citations
University of Wisconsin–Madison
Madison, United States
6 h-index
10 publications
643 citations
Inserm
Paris, France
6 h-index
10 publications
790 citations
ETH Zurich
Zurich, Switzerland
5 h-index
7 publications
531 citations
1–8 of 351
12 publications · 1.7K citations
12
h-index
10 publications · 5.6K citations
10
h-index
10 publications · 969 citations
10
h-index
10 publications · 591 citations
10
h-index
9 publications · 329 citations
9
h-index
1–5