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

Authors

16.5K

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    78 publications · 4.4K citations

    32

    h-index

  2. AS
    Alexandros Stamatakis

    Heidelberg Institute for Theoretical Studies, Germany

    41 publications · 55.6K citations

    28

    h-index

  3. HM
    Haitham M. Yousof

    Benha University, Egypt

    35 publications · 1.9K citations

    25

    h-index

  4. NB
    N. Balakrishnan

    McMaster University, Canada

    31 publications · 1.7K citations

    22

    h-index

  5. MA
    Morad Alizadeh

    Persian Gulf University, Iran

    31 publications · 1.3K citations

    21

    h-index

1–5 of 16.5K

Venues

  1. Journal of the American Statistical Association

    182 publications · 29.9K citations

    70

    h-index

  2. Molecular Biology and Evolution

    MBE · 92 publications · 87.2K citations

    68

    h-index

  3. Systematic Biology

    89 publications · 17.4K citations

    58

    h-index

  4. Biometrika

    110 publications · 14.8K citations

    53

    h-index

  5. Biometrics

    144 publications · 10.3K citations

    51

    h-index

1–5