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20082022
most citedBayesian inference of sampled ancestor trees for epidemiology and fossil calibration

418 citations · 1.2k across the 12 of their papers we have counts for

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Showing q-bio.PEShow all

11 papers · 1 filter

q-bio.PE2022★ 4 cited

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…

q-bio.PE2017★ 3 cited

The fossilized birth-death model for the analysis of stratigraphic range data under different speciation concepts

Tanja Stadler, Alexandra Gavryushkina, Rachel C. M. Warnock +2

A birth-death-sampling model gives rise to phylogenetic trees with samples from the past and the present. Interpreting "birth" as branching speciation, "death" as extinction, and "…

q-bio.PE2016

Bayesian phylogenetic estimation of fossil ages

Alexei J. Drummond, Tanja Stadler

Recent advances have allowed for both morphological fossil evidence and molecular sequences to be integrated into a single combined inference of divergence dates under the rule of…

q-bio.PE2015★ 123 cited

Computational Performance and Statistical Accuracy of *BEAST and Comparisons with Other Methods

Huw A. Ogilvie, Joseph Heled, Dong Xie +1

Under the multispecies coalescent model of molecular evolution, gene trees have independent evolutionary histories within a shared species tree. In comparison, supermatrix concaten…

q-bio.PE2015★ 403 cited

Bayesian total evidence dating reveals the recent crown radiation of penguins

Alexandra Gavryushkina, Tracy A. Heath, Daniel T. Ksepka +3

The total-evidence approach to divergence-time dating uses molecular and morphological data from extant and fossil species to infer phylogenetic relationships, species divergence t…

q-bio.PE2014★ 34 cited

Inferring epidemiological dynamics with Bayesian coalescent inference: The merits of deterministic and stochastic models

Alex Popinga, Tim Vaughan, Tanja Stadler +1

Estimation of epidemiological and population parameters from molecular sequence data has become central to the understanding of infectious disease dynamics. Various models have bee…