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Simple and Marked Point Processes

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Point Process Theory and Applications

Part of the book series: Probability and its Applications ((PA))

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Abstracts

This chapter contains the definitions of simple and marked point processes (SPPs and MPPs, respectively) recording the random occurrences over time of random events and shows how to identify the point processes with counting processes (CPs) and random counting measures (RCMs). The canonical spaces K, and KE of sequences of time-points of events and their marks are introduced together with the space W of counting process paths and the space M of discrete counting measures, counting timepoints and marks. It is demonstrated how SPPs and MPPs may be viewed as random variables with values in the sequence spaces K and KE respectively, while CPs are W-valued and RCMs are M-valued random variables. The definitions and notation given in the chapter are fundamental for everything that follows.

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Chapters 2 and 3

  1. Daley, D.J. and Vere-Jones, D. (1988). An Introduction to the Theory of Point Processes. Springer, New York. 2nd edition Vol. I, (2003).

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  3. Jacobsen, M. (1999). Marked Point Processes and Piecewise Deterministic Processes. Lecture Notes no 3, Centre for Mathematical Physics and Stochastics (MaPhySto), Aarhus.

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  4. Kallenberg, O. (1983). Random Measures. Akademie-Verlag, Berlin and Academic Press, London.

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  5. Last, G. and Brandt, A. (1995). Marked Point Processes on the Real Line. The Dynamic Approach. Springer, New York.

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  6. Reiss, R.-D. (1993). A Course on Point Processes. Springer, New York.

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© 2006 Birkhäuser Boston

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(2006). Simple and Marked Point Processes. In: Point Process Theory and Applications. Probability and its Applications. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4463-6_2

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