8 citations · 20 across the 14 of their papers we have counts for
18 papers
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…
Many-core algorithms for high-dimensional gradients on phylogenetic trees
Karthik Gangavarapu, Xiang Ji, Guy Baele +4
The rapid growth in genomic pathogen data spurs the need for efficient inference techniques, such as Hamiltonian Monte Carlo (HMC) in a Bayesian framework, to estimate parameters o…
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…