Likelihood Function is a probability-based function that specifies the probability of observing the given data as a function of the unknown parameters in a statistical model, forming the basis for inference in Bayesian data analysis.
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Publications per year
2017–2026
203
Variants
Likelihood Function
Parents
Publications
1.5K
Bias reduction of maximum likelihood estimates
David Firth · Biometrika · 1993 · 4.4K citations
On the Convergence Properties of the EM Algorithm
Changbao Wu · The Annals of Statistics · 1983 · 3.3K citations · Full text
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- NB
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McMaster University
Hamilton, Canada
23 h-index
37 publications
2.2K citations
University of Waterloo
Waterloo, Canada
21 h-index
32 publications
3K citations
University of Toronto
Toronto, Canada
17 h-index
32 publications
1.2K citations
Universidade Federal de Pernambuco
Recife, Brazil
16 h-index
33 publications
1.8K citations
Australian National University
Canberra, Australia
16 h-index
19 publications
1.4K citations
Imperial College London
London, United Kingdom
16 h-index
17 publications
3.6K citations
Stanford University
Stanford, United States
15 h-index
20 publications
1.6K citations
Universidade de São Paulo
São Paulo, Brazil
15 h-index
25 publications
784 citations
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- Biometrika
115 publications · 18.2K citations
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- Journal of the American Statistical Association
72 publications · 9.6K citations
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- The Annals of Statistics
48 publications · 9.9K citations
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
44 publications · 22.6K citations
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- Journal of Multivariate Analysis
34 publications · 1.8K citations
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