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Digest: Possible solutions for the joint estimation of divergence times and shared demographic changes *
Author(s) -
Ottenburghs Jente
Publication year - 2020
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.14090
Subject(s) - divergence (linguistics) , biology , estimation , bayesian probability , evolutionary biology , joint (building) , data science , computational biology , computer science , artificial intelligence , engineering , architectural engineering , philosophy , linguistics , systems engineering
Can we simultaneously infer divergence times and shared demographic events? Oaks et al. introduce a full‐likelihood Bayesian method based on genomic data and show that this endeavor remains challenging. Their exercise also reveals some promising avenues for future modeling attempts.