We develop a novel Markov chain Monte Carlo (MCMC) method that exploits ...
We address the inverse Frobenius–Perron problem: given a prescribed targ...
Uncertainty Quantification through Markov Chain Monte Carlo (MCMC) can b...
Bayesian modelling and computational inference by Markov chain Monte Car...
We describe a new and computationally efficient Bayesian methodology for...
General multivariate distributions are notoriously expensive to sample f...
Sample-based Bayesian inference provides a route to uncertainty
quantifi...