Particle MCMC and SMC–MCMC hybrids

Particle MCMC

Particle MCMC (PMCMC) is a family of Monte Carlo algorithms combining particle filters with MCMC for Bayesian inference on non-linear state-space models, introduced by Andrieu, Doucet, and Holenstein in 2010.