  Multivariate Poisson processes have many important applications in Insurance,
Finance, and many other areas of Applied Probability. In this paper we study
the backward simulation approach to modelling multivariate Poisson processes
and analyze the connection to the extreme measures describing the joint
distribution of the processes at the terminal simulation time.
