Publication | Closed Access
A cluster process representation of a self-exciting process
735
Citations
11
References
1974
Year
Cluster ComputingEngineeringFinite IntensitySpatiotemporal OrganizationStochastic PhenomenonCluster Process RepresentationData MiningStochastic ProcessesDynamic ProcessStochastic GeometryProcess MiningKnowledge DiscoveryLevy ProcessComputer ScienceProbability TheoryStationary Self-exciting PointBusinessPoisson Cluster ProcessesPoisson Boundary
It is shown that all stationary self-exciting point processes with finite intensity may be represented as Poisson cluster processes which are age-dependent immigration-birth processes, and their existence is established. This result is used to derive some counting and interval properties of these processes using the probability generating functional.
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