A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm

A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm

Abstract Bayesian phylogenetics is a computationally challenging inferential problem. Classical methods are based on random-walk Markov chain Monte Carlo (MCMC), where random proposals are made on the tree parameter and the continuous parameters simultaneously. Variational phylogenetics is a promisi...

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Bibliographic Details
Main Authors: Seong-Hwan Jun, Hassan Nasif, Chris Jennings-Shaffer, David H Rich, Anna Kooperberg, Mathieu Fourment, Cheng Zhang, Marc A Suchard, Frederick A Matsen
Format: Article
Language:English
Published: BMC 2023-07-01
Series:Algorithms for Molecular Biology
Online Access:https://doi.org/10.1186/s13015-023-00235-1

Internet

https://doi.org/10.1186/s13015-023-00235-1

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