2 papers
q-bio.PE2026
An adaptive time-tree transition kernel for Bayesian phylogenetic inference
Marius Brusselmans, Guy Baele, Samuel L. Hong +4
Bayesian phylogenetic and phylodynamic analyses can be very time-consuming, owing to the combination of complex models that are used to estimate key parameters from increasingly la…
q-bio.PE2024
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…