Estimation and Testing for a Markov Model of Reinforcement

The contagious Poisson process is a Markov process which has been used to represent the reinforcement of events. Standard methodsfor estimating and testing this model are shown to be generally inefficient and usually inconsistent. New methods making use of events counts from two or more adjacent intervals of time are proposed and illustrated. The model is also generalized to allow for initial heterogeneity.