Point Processes.

Abstract

This document describes the structure of most of these processes and discuss some of their basic properties. The coverage does not include several important topics requiring lengthy mathematical development (e.g. martingale theory of point processes, general Palm probabilities, and ergodic and spectral analysis of stationary processes). The emphasis will be one presenting tools for modeling stochastic systems rather than on applications of the tools. Although the theory of point processes is intimately connected with the subject of measure and integration (a point process is a random counting measure). The author focused on results that can be understood without a deep knowledge of measure theory. On the other hand, the presentation will be rigorous and at the level of the applied probability literature that one would encounter in studying point processes. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA185398

Entities

People

  • Richard F. Serfozo

Organizations

  • University of North Carolina at Chapel Hill

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  • Air Platforms

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  • Books
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  • Data Science
  • Databases
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  • Markov Processes
  • North Carolina
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Stationary Processes
  • Statistical Analysis
  • Statistics
  • Stochastic Processes
  • Theorems
  • Translations

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design