8 citations · 17 across the 9 of their papers we have counts for
15 papers
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…
Shrinkage-based random local clocks with scalable inference
Alexander A. Fisher, Xiang Ji, Akihiko Nishimura +2
Local clock models propose that the rate of molecular evolution is constant within phylogenetic sub-trees. Current local clock inference procedures scale poorly to large taxa probl…
Deep reinforcement learning for large-scale epidemic control
Pieter Libin, Arno Moonens, Timothy Verstraeten +4
Epidemics of infectious diseases are an important threat to public health and global economies. Yet, the development of prevention strategies remains a challenging process, as epid…
Efficient Bayesian Inference of General Gaussian Models on Large Phylogenetic Trees
Paul Bastide, Lam Si Tung Ho, Guy Baele +2
Phylogenetic comparative methods correct for shared evolutionary history among a set of non-independent organisms by modeling sample traits as arising from a diffusion process alon…
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…