| 书目名称 | Point Process Calculus in Time and Space | | 副标题 | An Introduction with | | 编辑 | Pierre Brémaud | | 视频video | | | 概述 | Addresses both beginners and more experienced probabilists using a rigorous mathematical treatment in a convivial style.Provides the theoretical details, yet is oriented toward applications.Covers bot | | 丛书名称 | Probability Theory and Stochastic Modelling | | 图书封面 |  | | 描述 | .This book provides an introduction to the theory and applications of point processes, both in time and in space. Presenting the two components of point process calculus, the martingale calculus and the Palm calculus, it aims to develop the computational skills needed for the study of stochastic models involving point processes, providing enough of the general theory for the reader to reach a technical level sufficient for most applications. .Classical and not-so-classical models are examined in detail, including Poisson–Cox, renewal, cluster and branching (Kerstan–Hawkes) point processes.The applications covered in this text (queueing, information theory, stochastic geometry and signal analysis) have been chosen not only for their intrinsic interest but also because they illustrate the theory. .Written in a rigorous but not overly abstract style, the book will be accessible to earnest beginners with a basic training in probability but will also interest upper graduate students and experienced researchers.. | | 出版日期 | Book 2020 | | 关键词 | 60xx, 90xx, 93xx, 94xx; point process; random measure; Poisson process; renewal theory; stochastic calcul | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-62753-9 | | isbn_softcover | 978-3-030-62755-3 | | isbn_ebook | 978-3-030-62753-9Series ISSN 2199-3130 Series E-ISSN 2199-3149 | | issn_series | 2199-3130 | | copyright | Springer Nature Switzerland AG 2020 |
The information of publication is updating
|
|
发表于 2025-3-21 19:19:54
