research
∙
06/27/2023
Debiasing Piecewise Deterministic Markov Process samplers using couplings
Monte Carlo methods - such as Markov chain Monte Carlo (MCMC) and piecew...
share
research
∙
10/22/2022
Transport Reversible Jump Proposals
Reversible jump Markov chain Monte Carlo (RJMCMC) proposals that achieve...
research
∙
05/19/2022
Continuously-Tempered PDMP Samplers
New sampling algorithms based on simulating continuous-time stochastic p...
research
∙
12/24/2021
Concave-Convex PDMP-based sampling
Recently non-reversible samplers based on simulating piecewise determini...
research
∙
09/02/2021
Bayesian Detectability of Induced Polarisation in Airborne Electromagnetic Data using Reversible Jump Sequential Monte Carlo
Detection of induced polarisation (IP) effects in airborne electromagnet...
research
∙
10/22/2020
Reversible Jump PDMP Samplers for Variable Selection
A new class of Markov chain Monte Carlo (MCMC) algorithms, based on simu...
research
∙
01/09/2018
Sampling molecular conformations and dynamics in a multi-user virtual reality framework
We describe a framework for interactive molecular dynamics in a multiuse...
research
∙
02/23/2017
