Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Universal probabilistic programming offers a powerful approach to statistical phylogenetics

Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnov...

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Bibliographic Details
Main Authors: Fredrik Ronquist, Jan Kudlicka, Viktor Senderov, Johannes Borgström, Nicolas Lartillot, Daniel Lundén, Lawrence Murray, Thomas B. Schön, David Broman
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-01753-7
Description
Summary:Ronquist, Kudlicka, Senderov and colleagues present universal probabilistic programming as a powerful method for modeling and inference in statistical phylogenetics. They provide an accessible introduction to these techniques and apply them in inferring complex patterns of diversification and turnover in birds.
ISSN:2399-3642

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