Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter

Manuel Pulido, Peter Jan vanLeeuwen

In this work, a novel sequential Monte Carlo filter is introduced which aims at efficient sampling of high-dimensional state spaces with a limited number of particles. Particles ar…