Likelihood Theory
Likelihood Theory is a formal statistical framework within inferential statistics that specifies the principles and properties governing the use of the likelihood function to estimate model parameters and make inferences about population structures based on observed data.
730
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1.2K
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558
Institutions
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2017–2026
66
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730
Better Bootstrap Confidence Intervals
Bradley Efron · Journal of the American Statistical Association · 1987 · 3.3K citations
Bootstrap confidence intervals
Thomas J. DiCiccio, Bradley Efron · Statistical Science · 1996 · 2.3K citations · Full text
D. R. Cox · Biometrika · 1975 · 2.3K citations
Empirical Likelihood and General Estimating Equations
Qin Jin, Jerry Lawless · The Annals of Statistics · 1994 · 1.7K citations · Full text
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University of Toronto
Toronto, Canada
18 h-index
31 publications
1.8K citations

University of Waterloo
Waterloo, Canada
15 h-index
22 publications
2K citations

Imperial College London
London, United Kingdom
15 h-index
17 publications
4.8K citations
Stanford University
Stanford, United States
13 h-index
17 publications
4.8K citations

York University
Toronto, Canada
12 h-index
14 publications
536 citations
University of California, Los Angeles
Los Angeles, United States
11 h-index
20 publications
1.9K citations

University of Padua
Padua, Italy
10 h-index
18 publications
1.2K citations
University of Washington
Seattle, United States
9 h-index
12 publications
1.5K citations
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81 publications · 10.7K citations
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