Nonparametric Maximum Likelihood Estimation
Nonparametric Maximum Likelihood Estimation is a statistical inference method that belongs to the class of nonparametric estimation techniques, distinguished by its maximization of the likelihood function over a completely specified space of probability distributions without assuming a finite-dimensional parametric form for the underlying distribution.
462
Publications
32.9K
Citations
733
Authors
414
Institutions
Publications per year
2017–2026
47
Variants
Npmle
462
Semi-Nonparametric Maximum Likelihood Estimation
A. Ronald Gallant, Douglas Nychka · Econometrica · 1987 · 933 citations
1–5 of 462
733
University of North Carolina at Chapel Hill, United States
11 publications · 714 citations
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11
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10
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9
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7
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1–5 of 733
414
University of North Carolina at Chapel Hill
Chapel Hill, United States
19 h-index
43 publications
3.2K citations
University of Washington
Seattle, United States
18 h-index
34 publications
2.5K citations
University of California, Davis
Davis, United States
14 h-index
19 publications
678 citations

Delft University of Technology
Delft, The Netherlands
11 h-index
17 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
10 h-index
18 publications
706 citations
Fred Hutch Cancer Center
Seattle, United States
9 h-index
11 publications
519 citations

Johns Hopkins University
Baltimore, United States
9 h-index
14 publications
749 citations
Columbia University
New York, United States
8 h-index
10 publications
650 citations
1–8 of 414
63 publications · 6.6K citations
39
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54 publications · 4.5K citations
31
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34 publications · 2.2K citations
25
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32 publications · 2K citations
23
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JCGS · 11 publications · 590 citations
11
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