Piecewise deterministic Markov processes (PDMPs) are a type of
continuou...
We extend Monte Carlo samplers based on piecewise deterministic Markov
p...
When performing Bayesian computations in practice, one is often faced wi...
Strong invariance principles describe the error term of a Brownian
appro...
Piecewise deterministic Markov processes (PDMPs) are a class of stochast...
We construct a new class of efficient Monte Carlo methods based on
conti...
The Bouncy Particle sampler (BPS) and the Zig-Zag sampler (ZZS) are
cont...
This paper introduces the Boomerang Sampler as a novel class of
continuo...
We introduce the use of the Zig-Zag sampler to the problem of sampling o...
The zig-zag process is a piecewise deterministic Markov process in posit...
Suppose X is a multidimensional diffusion process. Assume that at time z...
We introduce a stochastic approximation method for the solution of an er...