Multispecies Bayesian Inference

Multispecies Bayesian Inference is a coalescent-based phylogenetic method that estimates species trees from multilocus genetic data by applying Bayesian inference to jointly model gene tree variation and species divergence histories under a multispecies coalescent framework.

62

Publications

10.7K

Citations

214

Authors

118

Institutions

Publications per year

2017–2026

25

Authors

214

  1. ZY
    Ziheng Yang

    University College London, United Kingdom

    7 publications · 3.3K citations

    7

    h-index

  2. BR
    Bruce Rannala

    University of California, Davis, United States

    7 publications · 2.7K citations

    7

    h-index

  3. AJ
    Alexei J. Drummond

    University of Auckland, New Zealand

    4 publications · 2.9K citations

    4

    h-index

  4. GJ
    Graham Jones

    University of Gothenburg, Sweden

    3 publications · 270 citations

    3

    h-index

  5. HA
    Huw A. Ogilvie

    Rice University, United States

    3 publications · 373 citations

    3

    h-index

1–5 of 214

Venues

  1. Systematic Biology

    10 publications · 1.3K citations

    10

    h-index

  2. Molecular Biology and Evolution

    MBE · 5 publications · 3.6K citations

    5

    h-index

  3. Diversity and Distributions

    3 publications · 99 citations

    3

    h-index

  4. Molecular Phylogenetics and Evolution

    3 publications · 144 citations

    3

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 52 citations

    3

    h-index

1–5