Central limit theorem for nonlinear filtering and interacting particle systems

Abstract

Several random particle systems approaches were recently suggested to solve nonlinear filtering problems numerically. The present analysis is concerned with genetic-type interacting particle systems. Our aim is to study the fluctuations on path space of such particle-approximating models.