research
∙
10/01/2021
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions
The efficiency of Hamiltonian Monte Carlo (HMC) can suffer when sampling...
share
research
∙
08/09/2021
Pathfinder: Parallel quasi-Newton variational inference
We introduce Pathfinder, a variational method for approximately sampling...
research
∙
11/03/2020
Bayesian Workflow
The Bayesian approach to data analysis provides a powerful way to handle...
research
∙
03/19/2019
Rank-normalization, folding, and localization: An improved R for assessing convergence of MCMC
Markov chain Monte Carlo is a key computational tool in Bayesian statist...
research
∙
09/23/2015