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An Introduction to the Theory of Point Processes

  • Textbook
  • © 1998

Overview

Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (14 chapters)

Keywords

About this book

Stochastic point processes are sets of randomly located points in time, on the plane or in some general space. This book provides a general introduction to the theory, starting with simple examples and an historical overview, and proceeding to the general theory. It thoroughly covers recent work in a broad historical perspective in an attempt to provide a wider audience with insights into recent theoretical developments. It contains numerous examples and exercises. This book aims to bridge the gap between informal treatments concerned with applications and highly abstract theoretical treatments.

Authors and Affiliations

  • Department of Statistics Institute for Advanced Study, Australian National University, Canberra, Australia

    D. J. Daley

  • Department of Statistics, Victoria University, Wellington, New Zealand

    D. Vere-Jones

Bibliographic Information

  • Book Title: An Introduction to the Theory of Point Processes

  • Authors: D. J. Daley, D. Vere-Jones

  • Series Title: Springer Series in Statistics

  • DOI: https://doi.org/10.1007/978-1-4757-2001-3

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1998

  • eBook ISBN: 978-1-4757-2001-3Published: 14 March 2013

  • Series ISSN: 0172-7397

  • Series E-ISSN: 2197-568X

  • Edition Number: 1

  • Number of Pages: XXI, 702

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Probability Theory and Stochastic Processes

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