Event-Driven Competing Risks
by
The non-homogeneous Poisson process with a competing risk structure
can be used to simulate the interacting stochastic lives of
individuals in an ecological community. Such a technique can help
quantify the relationships among observed behaviors of individuals and
describe the resulting coupling between interacting populations
defined in state space descriptions commonly used in population
biology. The event structure provides the dynamics that drives time,
rather than the usual time-driven stochastic dynamic programming. We
illustrate the ideas with the California red scale-Aphytis
host-parasitoid system, although the method has wider applicability.
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