A conditional Poisson process (often called a double stochastic Poisson process) is characterized as a random time transformation of a Poisson process with unit intensity. This characterization is used to exhibit the jump times and sizes of these processes, and to study their limiting behavior. A conditional Poisson process, whose intensity is a function of a Markov process, is discussed. Results similar to those presented can be obtained for any process with conditional stationary independent increments.
No takes yet. Share an insight, caveat, or question.
Richard F. Serfozo (1972) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: