AN ESTIMATE OF THE APPROXIMATION ERROR IN THE FILTERING OF A DISCRETE JUMP PROCESS

Abstract

This paper deals with the filtering of a discrete Markov jump process when only the total number of jumps is observed. By using the recursive structure of the filtering equation, a technique to approximate the filter with a finite-dimensional filter is presented. An explicit bound for the approximation error, both almost surely and in L1, is given.