48 citations · 303 across the 26 of their papers we have counts for
3 papers · 1 filter
Bayesian nonparametric analysis of Kingman's coalescent
Stefano Favaro, Shui Feng, Paul A. Jenkins
Kingman's coalescent is one of the most popular models in population genetics. It describes the genealogy of a population whose genetic composition evolves in time according to the…
Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo
Jere Koskela, Paul A. Jenkins, Adam M. Johansen +1
We study weighted particle systems in which new generations are resampled from current particles with probabilities proportional to their weights. This covers a broad class of sequ…
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence +3
An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data. Recent work in population gen…