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 phylogeneti...

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Bibliographic Details
Main Authors: Jun, Seong-Hwan, Nasif, Hassan, Jennings-Shaffer, Chris, Rich, David H., Kooperberg, Anna, Fourment, Mathieu, Zhang, Cheng, Suchard, Marc A., Matsen, Frederick A.
Other Authors: Center for Brains, Minds, and Machines
Format: Article
Language:English
Published: BioMed Central 2023
Online Access:https://hdl.handle.net/1721.1/151771

Internet

https://hdl.handle.net/1721.1/151771

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