An Introduction to the Theory of Point Processes /
Stochastic point processes are sets of randomly located points in time, on the plane or in some general space. This book provides a general introduction to the theory, starting with simple examples and an historical overview, and proceeding to the general theory. It thoroughly covers recent work in...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York,
1998.
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| Series: | Springer series in statistics.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Early History
- Basic Properties of the Poisson Process
- Simple Results for Stationary Point Processes on the Line
- Renewal Processes
- Finite Point Processes
- Introduction to the General Theory of Random Measures
- Introduction to the General Theory of Point Processes
- Cluster Processes, Infinitely Divisible Processes, and Doubly Stochastic Processes
- Convergence Concepts and Limit Theorems
- Stationary Point Processes and Random Measures
- Spectral Theory
- Palm Theory
- Conditional Intensities and Likelihoods
- Exterior Conditioning
- Appendix I-III
- References and Author Index
- Subject Index.