Nicola Branchini

Optimized Auxiliary Particle Filters

2020 · arXiv (Cornell University)

Auxiliary particle filters (APFs) are a class of sequential Monte Carlo (SMC) methods for Bayesian inference in state-space models. In their original derivation, APFs operate in an extended space using an auxiliary variable to improve …