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Poisson processes(Generalized- /approximation)

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The Poisson process, a core object in modern probability, enjoys a richer theory than is sometimes appreciated. This volume develops the theory in the setting of a general abstract measure space, establishing basic results and properties as well as certain advanced topics in the stochastic analysis of the Poisson process. Also discussed are applications and related topics in stochastic geometry, including stationary point processes, the Boolean model, the Gilbert graph, stable allocations, and hyperplane processes. Comprehensive, rigorous, and self-contained, this text is ideal for graduate courses or for self-study, with a substantial number of exercises for each chapter. Mathematical prerequisites, mainly a sound knowledge of measure-theoretic probability, are kept in the background, but are reviewed comprehensively in the appendix. The authors are well-known researchers in probability theory; especially stochastic geometry. Their approach is informed both by their research and by their extensive experience in teaching at undergraduate and graduate levels.

Poisson processes. --- Stochastic processes. --- Probabilities.

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Probabilities --- Poisson processes --- Probabilités --- Poisson, Processus de

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In the theory of random processes there are two that are fundamental - one, the Bachelier Wiener model of Brownian motion has been the subject of many books. The other, the Poisson process, seems at first sight less worthy of study in its own right and has been largely neglected in the literature. This book attempts to redress the balance. It records Kingman's fascination with the beauty and wide applicability of Poisson processes in one or more dimensions. Themathematical theory is powerful, and a few key results often produce surprising consequences.

Poisson processes. --- Poisson processes --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Processes, Poisson --- Point processes

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Parameter estimation. --- Poisson processes. --- Set theory. --- Algebra, Boolean.