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Point processes and random measures

Published online by Cambridge University Press:  01 July 2016

Jan Grandell*
Affiliation:
The Royal Institute of Technology, Stockholm

Abstract

The purpose of this paper is to give a short introduction to the theory of point processes and random measures. Our hope is that the paper can be used as a complement to a study of Billingsley's book Convergence of Probability Measures. The subjects treated are: topological properties of the space of realizations; characterization and convergence of random measures with special attention to simple point processses and diffuse random measures; the relation between the topology used and the Skorohod topology. Some thinning and superposition results are given without proofs.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1977 

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References

Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
Feller, W. (1971) An Introduction to Probability Theory and its Applications. Vol. II, 2nd edn. Wiley, New York.Google Scholar
Freedman, D. (1971) Markov Chains. Holden-Day, San Francisco.Google Scholar
Jagers, P. (1974) Aspects of random measures and point processes. In Advances in Probability and Related Topics, ed. Ney, P., Marcel Dekker, New York, 179239.Google Scholar
Jagers, P. and Lindvall, T. (1974) Thinning and rare events in point processes. Z. Wahrscheinlichkeitsth, 28, 8998.CrossRefGoogle Scholar
Kallenberg, O. (1975) Random Measures. Akademie–Verlag, Berlin; Academic Press, London.Google Scholar
Kerstan, J., Matthes, K. and Mecke, J. (1974) Unbegrenzt teilbare Punktprozesse. Akademie-Verlag, Berlin.Google Scholar
Kingman, J. F. C. and Taylor, S. J. (1966) Introduction to Measure and Probability. Cambridge University Press, Cambridge.CrossRefGoogle Scholar