A Metropolis-class sampler for targets with non-convex support

John Moriarty, Jure Vogrinc, Alessandro Zocca

We aim to improve upon the exploration of the general-purpose random walk Metropolis algorithm when the target has non-convex support $A\subset {\mathbb{R}}^d$, by reusing proposals…