Bayesian phylogenetic inference is currently done via Markov chain Monte Carlo (MCMC)
with simple proposal mechanisms. This hinders exploration efficiency and often requires …

Bayesian phylogenetic analysis with MCMC algorithms generates an estimate of the
posterior distribution of phylogenetic trees in the form of a sample of phylogenetic trees and …

In many situations, it would be useful to know not just the best phylogenetic tree for a given
data set, but the collection of high-quality trees. This goal is typically addressed using …

In a phylogenetic analysis, rogue taxa and clades are those that, due to their uncertain
placement, contribute disproportionally to the variance in a set of phylogenetics trees. They …

Bayesian phylogenetics typically estimates a posterior distribution, or aspects thereof, using
Markov chain Monte Carlo methods. These methods integrate over tree space by applying …