| 书目名称 | Random Measures, Theory and Applications | | 编辑 | Olav Kallenberg | | 视频video | | | 概述 | Presents a comprehensive account of modern random measure theory.Interesting for researchers in pure and applied probability theory.Very broad exposition.Includes supplementary material: | | 丛书名称 | Probability Theory and Stochastic Modelling | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2017 | | 关键词 | 60G57, 60G55; Palm and Gibbs kernels; compensators; convergence in distribution; point processes; random | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-41598-7 | | isbn_softcover | 978-3-319-82392-8 | | isbn_ebook | 978-3-319-41598-7Series ISSN 2199-3130 Series E-ISSN 2199-3149 | | issn_series | 2199-3130 | | copyright | Springer International Publishing Switzerland 2017 |
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发表于 2025-3-21 18:08:45
