Implicit particle filters and applications

Implicit particle filters use a new sampling technique which finds high-probability samples of multi- dimensional probability densities by solving equations with a random input. With this new strategy, the particles generated by the filter will focus on high probability regions of the posterior probability density and, thus, the filter is applicable even if the state dimension is large. We will present the details of implicit particle filters and some applications to large scale problems.