A large population approach to estimation of parameters in Markov population models

Abstract

It is known that in the limit of large population sizes certain classes of Markov population processes can be approximated by a deterministic process plus a noise term. In the usual approximation procedures the noise term is proportional to a Wiener process. This allows us to derive an estimation procedure for Markov population processes that are observed periodically at times Δ , 2Δ….