Markov processes and self-similar stochastic models are important concepts in probability theory and statistics, often used to model random systems that evolve over time. Markov processes are ...

A Markov-modulated Poisson Process (MMPP) is a Poisson process that has its parameter controlled by a Markov process. These arrival processes are typical in communications modeling where time-varying ...