Likelihood Maximization is the statistical procedure of estimating model parameters by selecting those values that maximize the likelihood function, thereby identifying the parameter values most consistent with the observed data under a given probabilistic model.
2K
Publications
212.7K
Citations
5.9K
Authors
1.6K
Institutions
Publications per year
2017–2026
328
Publications
2K
On the Convergence Properties of the EM Algorithm
Changbao Wu · The Annals of Statistics · 1983 · 3.3K citations · Full text
An Improved General Amino Acid Replacement Matrix
Si Quang Le, Olivier Gascuel · Molecular Biology and Evolution · 2008 · 3.3K citations · Full text
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Authors
5.9K
- PS
11
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- YB
11
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- NB
9
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- SJ
7
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- SF
7
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1–5 of 5.9K
Institutions
1.6K
Centre National de la Recherche Scientifique
Paris, France
25 h-index
173 publications
54.9K citations
Princeton University
Princeton, United States
23 h-index
55 publications
10.1K citations
University of Michigan
Ann Arbor, United States
22 h-index
67 publications
4.9K citations
Massachusetts Institute of Technology
Cambridge, United States
18 h-index
74 publications
6.2K citations
University of Chicago
Chicago, United States
18 h-index
45 publications
5.4K citations
University of California, Berkeley
Berkeley, United States
18 h-index
36 publications
5.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
16 h-index
30 publications
1.3K citations
University of Waterloo
Waterloo, Canada
16 h-index
30 publications
2.6K citations
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Venues
- Journal of the American Statistical Association
71 publications · 7.1K citations
39
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- Biometrika
52 publications · 7.4K citations
33
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- The Annals of Statistics
39 publications · 8.3K citations
30
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- IEEE Transactions on Signal Processing
48 publications · 2.3K citations
28
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- Journal of the Royal Statistical Society Series B (Statistical Methodology)
33 publications · 19.9K citations
28
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