The Age of a Markov Process.

Abstract

The concept of a limiting conditional age distribution of a continuous time Markov process whose state space is the set of non-negative integers and for which (0) is absorbing is defined as the weak limit as t approaches infinity of the last time before t an associated 'return' Markov process exited from (0) conditional on the state, j, of this process at t. The existence and some properties of the conditional age distribution are derived. The Markov branching process and general birth and death process are treated in some detail as examples. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1977
Accession Number
ADA049691

Entities

People

  • Anthony G. Pakes

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • Age Distribution
  • Bessel Functions
  • Differential Equations
  • Equations
  • Generators
  • Immigration
  • Integrals
  • Kolmogorov Equations
  • Markov Chains
  • Markov Processes
  • New York
  • Power Series
  • Probability
  • Random Walk
  • Sequences
  • Statistics
  • Transitions

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space