Some remarks concerning statistical inference for marked point processes

Several stochastic models for non-stationary marked point processes are introduced by specification of appropriate basic conditions. These models are sufficiently general to be useful in applications and statistical inference is particularly easy to be carried out for these models. Relation between the models and the statistical methodology for Markov chains and linear logistic models are exhibited. Various examples and contexts for possible applications of the results are given.