Random Measures, Theory and Applications
Offering the first comprehensive treatment of the theory of random measures, this book has a very broad scope, ranging from basic properties of Poisson and related processes to the modern theories of convergence, stationarity, Palm measures, conditioning, and compensation. The three large final chap...
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| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Series: | Probability Theory and Stochastic Modelling,
77 |
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Preface
- 1.Spaces, Kernels, and Distribution
- 2.Dissection Limits and Regularity
- 3.Poisson and Related Processes
- 4.Convergence and Approximation
- 5.Stationarity in Euclidean Spaces
- 6.Palm and Related Kernels
- 7.Group Stationarity and Invariance
- 8.Exterior Conditioning
- 9.Compensation and Time Change
- 10.Multiple Integration and Chaos
- 11.Line and Flat Processes
- 12.Regeneration and Local Time
- 13.Branching and Superprocesses
- Appendices
- Historical and Bibliographical Notes
- References
- Indices.