Effective Online Bayesian Phylogenetics Via Sequential Monte Carlo With Guided Proposals
Mathieu Fourment, Brian C. Claywell, Vu Dinh, Connor O. McCoy, Frederick A. Matsen IV, Aaron E. Darling
This paper develops and evaluates online Bayesian phylogenetic inference methods using sequential Monte Carlo with guided proposals, showing reduced computation time compared to MCMC-based methods without significant accuracy loss.
Systematic Biology · Nov 23, 2017Peer-reviewedBioinformatics