In many situations, the arrival rate or service rate is determined by a Poisson process whose parameter varies as a function of time. For example, if the arrival rate to a fast food restaurant varies ...

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 ...

Training a Poisson regression model is the process of finding the values of the intercept/constant and the coefficients so that predicted y count values (before rounding) closely match the known, ...