8 citations · 20 across the 14 of their papers we have counts for
12 papers · 1 filter
Infinite Mixture Models for Improved Modeling of Across-Site Evolutionary Variation
Mandev S. Gill, Guy Baele, Marc A. Suchard +1
Scientific studies in many areas of biology routinely employ evolutionary analyses based on the probabilistic inference of phylogenetic trees from molecular sequence data. Evolutio…
On the importance of assessing topological convergence in Bayesian phylogenetic inference
Marius Brusselmans, Luiz Max Carvalho, Samuel L. Hong +7
Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the posterior distrib…
Random-effects substitution models for phylogenetics via scalable gradient approximations
Andrew F. Magee, Andrew J. Holbrook, Jonathan E. Pekar +7
Phylogenetic and discrete-trait evolutionary inference depend heavily on an appropriate characterization of the underlying character substitution process. In this paper, we present…
Scalable Bayesian divergence time estimation with ratio transformations
Xiang Ji, Alexander A. Fisher, Shuo Su +5
Divergence time estimation is crucial to provide temporal signals for dating biologically important events, from species divergence to viral transmissions in space and time. With t…
Principled, practical, flexible, fast: a new approach to phylogenetic factor analysis
Gabriel W. Hassler, Brigida Gallone, Leandro Aristide +6
Biological phenotypes are products of complex evolutionary processes in which selective forces influence multiple biological trait measurements in unknown ways. Phylogenetic factor…
Online Bayesian phylodynamic inference in BEAST with application to epidemic reconstruction
Mandev S. Gill, Philippe Lemey, Marc A. Suchard +2
Reconstructing pathogen dynamics from genetic data as they become available during an outbreak or epidemic represents an important statistical scenario in which observations arrive…