arXiv · 1802.04366
Bouncy Hybrid Sampler as a Unifying Device
Abstract
This work introduces a class of rejection-free Markov chain Monte Carlo (MCMC) samplers, named the Bouncy Hybrid Sampler, which unifies several existing methods from the literature. Examples include the Bouncy Particle Sampler of Peters and de With (2012), Bouchard-Cote et al. (2015) and the Hamiltonian MCMC. Following the introduced general framework, we derive a new sampler called the Quadratic Bouncy Hybrid Sampler. We apply this novel sampler to the problem of sampling from a truncated Gaussian distribution.
Explore related subjects
Keep this discovery
Jelena Markovic, Amir Sepehri. 2018-02-12. Bouncy Hybrid Sampler as a Unifying Device. https://arxiv.org/abs/1802.04366
Cite the original work for its findings. Save a collection to share your selection of sources.