A Statistical Procedure for Fitting Markov-Modulated Poisson Processes

A Markov-modulated Poisson process (MMPP) is a Poisson process whose rate varies according to an irreducible m-state Markov chain. The MMPP is used in many applications, notably in communications modeling, to describe point processes with fluctuating arrival rates.