Nonparametric Likelihood is a likelihood function that belongs to the class of statistical inference methods in which the underlying probability distribution is treated as an infinite-dimensional parameter, distinguished from parametric likelihood by not assuming a fixed finite set of parameters to describe the distribution.
185
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21.5K
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335
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181
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2017–2026
15
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Publications
185
Flexible smoothing with B-splines and penalties
Paul H.C. Eilers, Brian D. Marx · Statistical Science · 1996 · 3.7K citations · Full text
Empirical Likelihood Ratio Confidence Regions
Art B. Owen · The Annals of Statistics · 1990 · 1.5K citations · Full text
1–5 of 185
Authors
335
- AB
6
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5
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5
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3
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3
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1–5 of 335
Institutions
181
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
12 publications
456 citations
University of Washington
Seattle, United States
6 h-index
8 publications
878 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
8 publications
545 citations
Pennsylvania State University
State College, United States
5 h-index
5 publications
218 citations
Stanford University
Stanford, United States
5 h-index
6 publications
295 citations
National University of Singapore
Singapore, Singapore
5 h-index
10 publications
622 citations
University of California, Davis
Davis, United States
4 h-index
5 publications
1.5K citations
Australian National University
Canberra, Australia
4 h-index
5 publications
241 citations
1–8 of 181
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- The Annals of Statistics
31 publications · 5.5K citations
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- Journal of the American Statistical Association
24 publications · 2.2K citations
20
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- Biometrika
20 publications · 1.2K citations
15
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- Biometrics
13 publications · 916 citations
12
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- Canadian Journal of Statistics
CJS · 6 publications · 271 citations
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