117 citations · 132 across the 10 of their papers we have counts for
12 papers
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…
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…
Gradients do grow on trees: a linear-time -dimensional gradient for statistical phylogenetics
Xiang Ji, Zhenyu Zhang, Andrew Holbrook +5
Calculation of the log-likelihood stands as the computational bottleneck for many statistical phylogenetic algorithms. Even worse is its gradient evaluation, often used to target r…
Massive parallelization boosts big Bayesian multidimensional scaling
Andrew Holbrook, Philippe Lemey, Guy Baele +4
Big Bayes is the computationally intensive co-application of big data and large, expressive Bayesian models for the analysis of complex phenomena in scientific inference and statis…
Spatio-temporal Dynamics of Foot-and-Mouth Disease Virus in South America
Luiz Max Carvalho, Nuno Rodrigues Faria, Andres M. Perez +5
Although foot-and-mouth disease virus (FMDV) incidence has decreased in South America over the last years, the pathogen still circulates in the region and the risk of re-emergence…
Epidemic reconstruction in a phylogenetics framework: transmission trees as partitions
Matthew Hall, Andrew Rambaut
The reconstruction of transmission trees for epidemics from genetic data has been the subject of some recent interest. It has been demonstrated that the transmission tree structure…