Parametric Bootstrap

Parametric Bootstrap is a statistical resampling method in phylogenetics that generates pseudo-replicate datasets by simulating sequence evolution under a specified substitution model and tree topology to assess the reliability of inferred phylogenetic relationships.

512

Publications

31.1K

Citations

1.1K

Authors

616

Institutions

Publications per year

2017–2026

88

Authors

1.1K

  1. DM
    Domingo Morales

    Universitat de Miguel Hernández d'Elx, Spain

    6 publications · 279 citations

    6

    h-index

  2. BE
    Bradley Efron

    Stanford University, United States

    5 publications · 307 citations

    5

    h-index

  3. YL
    Yuhlong Lio

    University of South Dakota, United States

    5 publications · 151 citations

    5

    h-index

  4. KK
    K. Krishnamoorthy

    University of Louisiana at Lafayette, United States

    5 publications · 274 citations

    5

    h-index

  5. CC
    Ching-Hui Chang

    Ming Chuan University, Taiwan

    4 publications · 98 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. 16

    h-index

  2. Communication in Statistics- Theory and Methods

    13 publications · 345 citations

    11

    h-index

  3. Molecular Biology and Evolution

    MBE · 11 publications · 1.1K citations

    11

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 11 publications · 276 citations

    10

    h-index

  5. Statistics in Medicine

    9 publications · 1.4K citations

    9

    h-index

1–5