4 citations · 4 across the 1 of their papers we have counts for
4 papers · 1 filter
TreeFlow: probabilistic modelling and automatic differentiation for phylogenetics
Christiaan Swanepoel, Mathieu Fourment, Xiang Ji +4
Probabilistic modelling frameworks are powerful tools for statistical modelling and inference. They are not immediately generalizable to phylogenetic problems due to the particular…
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology
Mathieu Fourment, Andrew F. Magee, Chris Whidden +3
The marginal likelihood of a model is a key quantity for assessing the evidence provided by the data in support of a model. The marginal likelihood is the normalizing constant for…
Systematic Exploration of the High Likelihood Set of Phylogenetic Tree Topologies
Chris Whidden, Brian C. Claywell, Thayer Fisher +3
Bayesian Markov chain Monte Carlo explores tree space slowly, in part because it frequently returns to the same tree topology. An alternative strategy would be to explore tree spac…
A surrogate function for one-dimensional phylogenetic likelihoods
Brian C. Claywell, Vu C. Dinh, Connor O. McCoy +1
Phylogenetics has seen an steady increase in substitution model complexity, which requires increasing amounts of computational power to compute likelihoods. This model complexity m…