Kernel methods in particle filtering

Abstract

The thesis examines the convergence of the kernel density estimates to filtering densities. It is proved that using the standard kernel density estimation methodology is effective in the context of particle filtering.

Keywords

• particle filter
• kernel density estimate
• upper and lower bounds