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Random Measures, Theory and Applications

Inhalt

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 chapters focus on applications within the areas of stochastic geometry, excursion theory, and branching processes. Although this theory plays a fundamental role in most areas of modern probability, much of it, including the most basic material, has previously been available only in scores of journal articles. The book is primarily directed towards researchers and advanced graduate students in stochastic processes and related areas.

Bibliografische Angaben

Juli 2018, 680 Seiten, Probability Theory and Stochastic Modelling, Englisch
Springer Nature EN
978-3-319-82392-8

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Weitere Titel der Reihe: Probability Theory and Stochastic Modelling

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