Filtering and smoothing for diffusion models: Analytical approximations and particle filters

Abstract

We consider filtering and smoothing of a diffusion that is observed partially at discrete time points with observation noise. We review analytical approximations for the conditional distribution of the unobserved path and discuss ideas to use these approximations to obtain efficient proposal distributions for particle filtering.