Abstract
A representation for the probability generating functional (p.g.fl.) of a regular infinitely divisible (i.d.) stochastic point process, motivated as a generalization of the Gauss-Poisson process, is presented. The functional is characterized by a sequence of Borel product measures. Necessary and sufficient conditions, in terms of these Borel measures, are given for this representation to be a p.g.fl., thus characterizing all regular i.d. point processes.
Original language | English (US) |
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Pages (from-to) | 87-94 |
Number of pages | 8 |
Journal | Stochastic Processes and their Applications |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Nov 1977 |
Externally published | Yes |
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Applied Mathematics