Nonparametric Bayesian estimators for counting processes

This paper is concerned with nonparametric Bayesian inference of the Aalen's multiplicative counting process model. For a desired nonparametric prior distribution of the cumulative intensity function, a dass of Levy processes is considered, and it is shown that the class of Levy processes is conjugate for the multiplicative counting process model, and formulas for obtaining a posterior process are derived. Finally, our results are applied to several practically important models such as one point processes for right-censored data, Poisson processes and Markov processes.