Poisson approximations for Markov-driven point processes

An asymptotically finite bound is derived for the total variation distance between the distribution of N(t) and the Poisson distribution with mean EN(t) when N is a simple point process whose interpoint times are exponential with means determined by an ergodic, finite-state Markov chain and when it is a Cox process with a stationary, irreducible, finite-state continuous-time Markov chain for intensity.