Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-23T06:02:54.442Z Has data issue: false hasContentIssue false

Some passage-time generating functions for discrete-time and continuous-time finite Markov chains

Published online by Cambridge University Press:  14 July 2016

J. N. Darroch
Affiliation:
Flinders University of South Australia
K. W. Morris
Affiliation:
University of Adelaide

Abstract

Let T denote a subset of the possible transitions between the states of a finite Markov chain and let Yk denote the time of the kth occurrence of a T-transition. Formulae are derived for the generating functions of Yk, of Yj + k — Yj and of Yj + kYj in the limit as j → ∞, for both discrete-time and continuoustime chains. Several particular cases are briefly discussed.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bartlett, M. S. (1962) Stochastic Processes. 2nd edition. Cambridge U. Press.Google Scholar
Cox, D. R. and Miller, H. D. (1965) The Theory of Stochastic Processes. Methuen, London.Google Scholar
Darroch, J. N. (1966) Identities for passage times with applications to recurrent events and homogeneous differential functions. J. Appl. Prob. 3, 435444.CrossRefGoogle Scholar
Kemeny, John G. and Snell, J. L. (1960) Finite Markov Chains. Van Nostrand, Princeton, N.J. Google Scholar