Random Measures, Theory and Applications
Overview
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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783319415963
- ISBN-10: 3319415964
- Publisher: Springer
- Publish Date: April 2017
- Dimensions: 9.21 x 6.14 x 1.5 inches
- Shipping Weight: 2.56 pounds
- Page Count: 680
Related Categories
