Maximum Likelihood Inference
Maximum Likelihood Inference is a statistical estimation method that, within the context of lineage reconstruction, identifies the evolutionary tree and associated parameters that maximize the probability of observing the given molecular sequence data under a specified model of evolution.
6.4K
Publications
659.5K
Citations
16.5K
Authors
4.1K
Institutions
Publications per year
2017–2026
1.4K
Parents
6.4K
Koichiro Tamura, Daniel G. Peterson, Nora Peterson et al. · Molecular Biology and Evolution · 2011 · 40.3K citations · Full text
1–5 of 6.4K
16.5K
32
h-index
Heidelberg Institute for Theoretical Studies, Germany
41 publications · 55.6K citations
28
h-index
25
h-index
22
h-index
21
h-index
1–5 of 16.5K
4.1K
Harvard University
Cambridge, United States
50 h-index
200 publications
45.7K citations

Centre National de la Recherche Scientifique
Paris, France
46 h-index
244 publications
29.8K citations
University of Washington
Seattle, United States
45 h-index
147 publications
40.5K citations
University of California, Berkeley
Berkeley, United States
41 h-index
163 publications
14.5K citations
University of Michigan
Ann Arbor, United States
40 h-index
115 publications
14.7K citations

Chinese Academy of Sciences
Beijing, China
39 h-index
335 publications
16K citations
Universidade de São Paulo
São Paulo, Brazil
38 h-index
164 publications
7.9K citations
Stanford University
Stanford, United States
36 h-index
100 publications
15.3K citations
1–8 of 4.1K
182 publications · 29.9K citations
70
h-index
MBE · 92 publications · 87.2K citations
68
h-index
89 publications · 17.4K citations
58
h-index
110 publications · 14.8K citations
53
h-index
144 publications · 10.3K citations
51
h-index
1–5