Random Measures, Theory and Applications
Publisher: Springer
Published: Apr 25, 2017
Language: eng
Format: hardcover
Number of pages: 708
ISBN-13: 9783319415963
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.
Notes: Source title: Random Measures, Theory and Applications (Probability Theory and Stochastic Modelling (77))