Abstracts
This chapter contains the fundamental construction of canonical point processes (i.e., probabilities on the sequence spaces K and KE), canonical counting processes (probabilities on the space W) and canonical random counting measures (probabilities on the space M). The construction is performed using successive regular conditional distributions. The chapter also has a section on how to view certain types of continuous time stochastic processes as MPPs, an approach examined in detail in Chapters 6 and 7. Finally, a number of basic examples that will reappear at various points in the text are presented.
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Chapters 2 and 3
Daley, D.J. and Vere-Jones, D. (1988). An Introduction to the Theory of Point Processes. Springer, New York. 2nd edition Vol. I, (2003).
Jacobsen, M. (1982). Statistical Analysis of Counting Processes. Lecture Notes in Statistics 12, Springer, New York.
Jacobsen, M. (1999). Marked Point Processes and Piecewise Deterministic Processes. Lecture Notes no 3, Centre for Mathematical Physics and Stochastics (MaPhySto), Aarhus.
Kallenberg, O. (1983). Random Measures. Akademie-Verlag, Berlin and Academic Press, London.
Last, G. and Brandt, A. (1995). Marked Point Processes on the Real Line. The Dynamic Approach. Springer, New York.
Reiss, R.-D. (1993). A Course on Point Processes. Springer, New York.
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© 2006 Birkhäuser Boston
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(2006). Construction of SPPs and MPPs. In: Point Process Theory and Applications. Probability and its Applications. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4463-6_3
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DOI: https://doi.org/10.1007/0-8176-4463-6_3
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4215-0
Online ISBN: 978-0-8176-4463-5
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