Bayesian Tree Dating

Bayesian Tree Dating is a probabilistic framework for estimating the evolutionary timescale of phylogenetic trees by integrating prior knowledge on divergence times with sequence data under a model of molecular evolution, using Bayesian inference to compute posterior distributions of node ages.

22

Publications

1.5K

Citations

80

Authors

57

Institutions

Publications per year

2017–2026

11

Variants

Bayesian Divergence Time Estimation

Authors

80

  1. XD
    Xavier Didelot

    Imperial College London, United Kingdom

    2 publications · 356 citations

    2

    h-index

  2. DJ
    Daniel J. Wilson

    University of Oxford, United Kingdom

    2 publications · 356 citations

    2

    h-index

  3. RD
    Russell D. Gray

    University of Auckland, New Zealand

    2 publications · 169 citations

    2

    h-index

  4. GK
    Geoff K. Nicholls

    University of Auckland, New Zealand

    2 publications · 78 citations

    2

    h-index

  5. NJ
    Nicholas J. Croucher

    Wellcome Sanger Institute, United Kingdom

    2 publications · 356 citations

    2

    h-index

1–5 of 80

Venues

  1. Journal of Biogeography

    2 publications · 138 citations

    2

    h-index

  2. International Journal of Plant Sciences

    IJPS · 2 publications · 342 citations

    2

    h-index

  3. PeerJ

    1 publications · 31 citations

    1

    h-index

  4. Vernacular Architecture

    1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5