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