Maximum Likelihood Estimation Algorithms
Maximum Likelihood Estimation Algorithms is a computational methodology in phylogenetics that, within the framework of statistical inference, uses iterative optimization techniques to identify the phylogenetic tree and model parameters that maximize the probability of observing the given sequence data under a specified evolutionary model.
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Citations
2.6K
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Institutions
Publications per year
2017–2026
200
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Heidelberg Institute for Theoretical Studies, Germany
18 publications · 55.4K citations
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Centre National de la Recherche Scientifique
Paris, France
18 h-index
49 publications
162K citations
University of Chicago
Chicago, United States
16 h-index
18 publications
6.3K citations
Stanford University
Stanford, United States
15 h-index
33 publications
6.2K citations
University of Washington
Seattle, United States
14 h-index
21 publications
5.2K citations
The Ohio State University
Columbus, United States
14 h-index
25 publications
2.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
27 publications
2.8K citations

Washington University in St. Louis
St Louis, United States
13 h-index
21 publications
958 citations
University of Southern California
Los Angeles, United States
13 h-index
35 publications
2K citations
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31 publications · 3.6K citations
23
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31 publications · 2.5K citations
22
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22 publications · 60.7K citations
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22 publications · 38.9K citations
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MBE · 21 publications · 51.3K citations
19
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