Probability Theory and Stochastic Modelling

Kallenberg, Olav

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.

Details

Published by: Springer

Publication Date: 2018-07-17

Format: Paperback

ISBN-13: 9783319823928

DOI: 10.1007/978-3-319-41598-7

Dimensions: 235cm x155cm

Pages: 680