Nonparametric Likelihood Estimation is a method of statistical inference that belongs to the class of likelihood estimation techniques and is distinguished by its avoidance of prespecified parametric models for the data distribution, instead allowing the likelihood to be constructed based on entirely data-driven, infinite-dimensional parameter spaces.
193
Publications
16.5K
Citations
325
Authors
202
Institutions
Publications per year
2017–2026
14
Parents
Publications
193
Empirical Likelihood Ratio Confidence Regions
Art B. Owen · The Annals of Statistics · 1990 · 1.5K citations · Full text
Empirical Distributions in Selection Bias Models
Y. Vardi · The Annals of Statistics · 1985 · 387 citations · Full text
1–5 of 193
Authors
325
- FJ
9
h-index
- HM
5
h-index
- AB
5
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- DZDonglin Zeng
University of North Carolina at Chapel Hill, United States
3 publications · 291 citations
3
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- AP
3
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1–5 of 325
Institutions
202
University of California, Davis
Davis, United States
10 h-index
11 publications
402 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
11 publications
964 citations
Harvard University
Cambridge, United States
6 h-index
8 publications
1.1K citations
University of Wisconsin–Madison
Madison, United States
6 h-index
7 publications
625 citations
University of Minnesota
Minneapolis, United States
6 h-index
6 publications
615 citations
University of Washington
Seattle, United States
5 h-index
9 publications
859 citations
Stanford University
Stanford, United States
4 h-index
4 publications
158 citations
University of Toronto
Toronto, Canada
4 h-index
4 publications
1K citations
1–8 of 202
Venues
- The Annals of Statistics
30 publications · 4.4K citations
25
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- Journal of the American Statistical Association
28 publications · 3.1K citations
21
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- Biometrika
22 publications · 1.1K citations
17
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- Biometrics
17 publications · 774 citations
16
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- Statistica Sinica
5 publications · 262 citations
5
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