Random Measures, Theory and Applications (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Probability Theory and Stochastic Modelling, 77
Release date:	April 2017
First published:	2017
Authors:	Olav Kallenberg
Dimensions:	235 x 155 x 38mm (L x W x T)
Format:	Hardcover
Pages:	680
Edition:	1st ed. 2017
ISBN-13:	978-3-319-41596-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	3-319-41596-4
Barcode:	9783319415963

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