research
∙
03/14/2023
Methods and applications of PDMP samplers with boundary conditions
We extend Monte Carlo samplers based on piecewise deterministic Markov p...
share
research
∙
02/03/2021
Bayesian Fusion: Scalable unification of distributed statistical analyses
There has recently been considerable interest in addressing the problem ...
research
∙
06/24/2020
The Boomerang Sampler
This paper introduces the Boomerang Sampler as a novel class of continuo...
research
∙
01/01/2019
Monte Carlo Fusion
This paper proposes a new theory and methodology to tackle the problem o...
research
∙
05/01/2018
Scalable Importance Tempering and Bayesian Variable Selection
We propose a Monte Carlo algorithm to sample from high-dimensional proba...
research
∙
01/28/2018
Air Markov Chain Monte Carlo
We introduce a class of Adapted Increasingly Rarely Markov Chain Monte C...
research
∙
01/28/2018