Bootstrap Under Maximum Likelihood

Bootstrap Under Maximum Likelihood is a statistical method in phylogenetics that belongs to the class of bootstrap resampling techniques and is distinguished by its application of maximum likelihood estimation to assess the reliability of phylogenetic tree branches through repeated sampling of aligned sequence data.

8

Publications

676

Citations

25

Authors

17

Institutions

Publications per year

2017–2026

0

Authors

25

  1. KC
    Kátia C. M. Pellegrino

    Universidade de São Paulo, Brazil

    2 publications · 248 citations

    2

    h-index

  2. NM
    Norman Muzhinji

    University of Pretoria, South Africa

    1 publications · 58 citations

    1

    h-index

  3. YI
    Yuji Inagaki

    University of Tsukuba, Japan

    1 publications · 174 citations

    1

    h-index

  4. JR
    John R. Gold

    Texas A&M University, United States

    1 publications · 42 citations

    1

    h-index

  5. JW
    Jack W. Sites

    Brigham Young University, United States

    1 publications · 94 citations

    1

    h-index

1–5 of 25

Venues

  1. Biological Journal of the Linnean Society

    3 publications · 290 citations

    3

    h-index

  2. Advances in Data Analysis and Classification

    1 publications · 65 citations

    1

    h-index

  3. American Journal of Botany

    1 publications · 68 citations

    1

    h-index

  4. Journal of Phycology

    1 publications · 21 citations

    1

    h-index

  5. Plant Disease

    1 publications · 58 citations

    1

    h-index

1–5