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.
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