ENGLISH

Random Measures, Theory and Applications

By Olav Kallenberg (auth.)

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-41596-3, 978-3-319-41598-7
DOI
10.1007/978-3-319-41598-7
Language
english
Format
PDF
Filesize
5 MB (5580427 bytes)
Series
Probability Theory and Stochastic Modelling 77
Edition
1
Pages
XXVIII, 680\706
Time added
2017-06-25 01:07:36
Probability Theory and Stochastic Processes

Description

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.

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