Remarks on model-based estimation of nonhomogeneous Poisson processes and applications to biological systems

This paper makes some remarks concerning model-based estimation methods for the rate of a nonhomogeneous Poisson processes that describes events arising from modeling biological phenomena in which discrete events are measured. We describe an approach based on observers and Kalman filters as well as preliminary simulation results, and compare these to other methods (not model-based) in the literature.