Variational Bayesian Supertrees
Populations and Evolution
2021-04-23 v1 Machine Learning
Abstract
Given overlapping subsets of a set of taxa (e.g. species), and posterior distributions on phylogenetic tree topologies for each of these taxon sets, how can we infer a posterior distribution on phylogenetic tree topologies for the entire taxon set? Although the equivalent problem for in the non-Bayesian case has attracted substantial research, the Bayesian case has not attracted the attention it deserves. In this paper we develop a variational Bayes approach to this problem and demonstrate its effectiveness.
Cite
@article{arxiv.2104.11191,
title = {Variational Bayesian Supertrees},
author = {Michael Karcher and Cheng Zhang and Frederick A Matsen},
journal= {arXiv preprint arXiv:2104.11191},
year = {2021}
}