Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models

Abstract A new algorithm for the prediction, filtering, and smoothing of non-Gaussian nonlinear state space models is shown. The algorithm is based on a Monte Carlo method in which successive prediction, filtering (and subsequently smoothing), conditional probability density functions are approximat... View More