3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ML2019★ 3 cited
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Robert Cornish, Paul Vanetti, Alexandre Bouchard-Côté +2
Bayesian inference via standard Markov Chain Monte Carlo (MCMC) methods is too computationally intensive to handle large datasets, since the cost per step usually scales like $Θ(n)…
q-bio.PE2018
An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics
Liangliang Wang, Shijia Wang, Alexandre Bouchard-Côté
We describe an "embarrassingly parallel" method for Bayesian phylogenetic inference, annealed Sequential Monte Carlo, based on recent advances in the Sequential Monte Carlo literat…