Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Markov chains conditioned never to wait too long at the origin

Tools
- Tools
+ Tools

Jacka, Saul D.. (2009) Markov chains conditioned never to wait too long at the origin. Journal of Applied Probability, Vol.46 (No.3). pp. 812-826. ISSN 0021-9002

[img] PDF
WRAP_Jacka_8473264-st-211209-nowaitfin.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (272Kb)
Official URL: http://dx.doi.org/10.1239/jap/1253279853

Abstract

Motivated by Feller's coin-tossing problem, we consider the problem of conditioning an irreducible Markov chain never to wait too long at 0. Denoting by τ the first time that the chain, X, waits for at least one unit of time at the origin, we consider conditioning the chain on the event (τ›T). We show that there is a weak limit as T→∞ in the cases where either the state space is finite or X is transient. We give sufficient conditions for the existence of a weak limit in other cases and show that we have vague convergence to a defective limit if the time to hit zero has a lighter tail than τ and τ is subexponential.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Markov processes, Probabilities, Branching processes, Boundary value problems, Convergence
Journal or Publication Title: Journal of Applied Probability
Publisher: Applied Probability Trust
ISSN: 0021-9002
Date: September 2009
Volume: Vol.46
Number: No.3
Page Range: pp. 812-826
Identification Number: 10.1239/jap/1253279853
Status: Peer Reviewed
Access rights to Published version: Open Access
References: Doney, R. A. and Bertoin, J. (1996). Some asymptotic results for transient random walks. Adv. App. Prob. 28, 207--226. Mathematical Reviews (MathSciNet): MR1372336 Zentralblatt MATH: 0854.60069 Digital Object Identifier: doi:10.2307/1427918 JSTOR: links.jstor.org Doney, R. A. and Bertoin, J. (1997). Spitzer's condition for random walks and Lévy processes. Ann. Inst. H. Poincaré Prob. Statist. 33, 167--178. Mathematical Reviews (MathSciNet): MR1443955 Digital Object Identifier: doi:10.1016/S0246-0203(97)80120-3 Doney, R. A. and Chaumont, L. (2005). On Lévy processes conditioned to stay positive. Electron. J. Prob. 10, 948--961. Mathematical Reviews (MathSciNet): MR2164035 Feller, W. (1968). An Introduction To Probability Theory and Its Applications, Vol. I, 3rd edn. John Wiley, New York. Mathematical Reviews (MathSciNet): MR228020 Feller, W. (1971). An Introduction To Probability Theory and Its Applications, Vol. II, 2nd edn. John Wiley, New York. Mathematical Reviews (MathSciNet): MR270403 Ferrari, P. A., Kesten, H., Martinez, S. and Picco, P. (1995). Existence of quasi-stationary distributions. A renewal dynamical approach. Ann. Prob. 23, 501--521. Mathematical Reviews (MathSciNet): MR1334159 Zentralblatt MATH: 0827.60061 Digital Object Identifier: doi:10.1214/aop/1176988277 Project Euclid: euclid.aop/1176988277 Jacka, S. D. and Roberts, G. O. (1994). Strong forms of weak convergence. Stoch. Process. Appl. 67, 41--53. Mathematical Reviews (MathSciNet): MR1445043 Zentralblatt MATH: 0890.60005 Digital Object Identifier: doi:10.1016/S0304-4149(97)00002-1 Jacka, S. D. and Roberts, G. O. (1995). Weak convergence of conditioned processes on a countable state space. J. Appl. Prob. 32, 902--916. Mathematical Reviews (MathSciNet): MR1363332 Zentralblatt MATH: 0839.60069 Digital Object Identifier: doi:10.2307/3215203 JSTOR: links.jstor.org Jacka, S. and Warren, J. (2002). Examples of convergence and non-convergence of Markov chains conditioned not to die. Electron. J. Prob. 7, 22pp. Mathematical Reviews (MathSciNet): MR1887621 Zentralblatt MATH: 1014.60074 Jacka, S., Lazic, Z. and Warren, J. (2005). Conditioning an additive functional of a Markov chain to stay nonnegative. I. Survival for a long time. Adv. Appl. Prob. 37, 1015--1034. Mathematical Reviews (MathSciNet): MR2193994 Zentralblatt MATH: 1101.60056 Digital Object Identifier: doi:10.1239/aap/1134587751 Project Euclid: euclid.aap/1134587751 Jacka, S., Lazic, Z. and Warren, J. (2005). Conditioning an additive functional of a Markov chain to stay nonnegative. II. Hitting a high level. Adv. Appl. Prob. 37, 1035--1055. Mathematical Reviews (MathSciNet): MR2193995 Zentralblatt MATH: 1152.60340 Digital Object Identifier: doi:10.1239/aap/1134587752 Project Euclid: euclid.aap/1134587752 Kesten, H. (1995). A ratio limit theorem for (sub) Markov chains on $\1,2,\ldots\$ with bounded jumps. Adv. Appl. Prob. 27, 652--691. Mathematical Reviews (MathSciNet): MR1341881 Zentralblatt MATH: 0829.60059 Digital Object Identifier: doi:10.2307/1428129 JSTOR: links.jstor.org Kyprianou, A. E. and Palmowski, Z. (2006). Quasi-stationary distributions for Lévy processes. Bernoulli 12, 571--581. Mathematical Reviews (MathSciNet): MR2248228 Digital Object Identifier: doi:10.3150/bj/1155735927 Project Euclid: euclid.bj/1155735927 Roberts, G. O. and Jacka, S. D. (1994). Weak convergence of conditioned birth and death processes. J. Appl. Prob. 31, 90--100. Mathematical Reviews (MathSciNet): MR1260573 Zentralblatt MATH: 0796.60077 Digital Object Identifier: doi:10.2307/3215237 JSTOR: links.jstor.org Roberts, G. O., Jacka, S. D. and Pollett, P. K. (1997). Non-explosivity of limits of conditioned birth and death processes. J. Appl. Prob. 34, 35--45. Mathematical Reviews (MathSciNet): MR1429052 Zentralblatt MATH: 0874.60070 Digital Object Identifier: doi:10.2307/3215172 JSTOR: links.jstor.org Seneta, E. (1981). Nonnegative Matrices and Markov Chains. Springer, New York. Mathematical Reviews (MathSciNet): MR719544 Seneta, E. and Vere-Jones, D. (1966). On quasi-stationary distributions in discrete-time Markov chains with a denumerable infinity of states. J. Appl. Prob. 3, 403--434. Mathematical Reviews (MathSciNet): MR207047 Zentralblatt MATH: 0147.36603 Digital Object Identifier: doi:10.2307/3212128 JSTOR: links.jstor.org Sigman, K. (1999). Appendix: a primer on heavy-tailed distributions. Queues with heavy-tailed distributions. Queueing Systems 33, 261--275. Mathematical Reviews (MathSciNet): MR1748646 Digital Object Identifier: doi:10.1023/A:1019180230133 Williams, D. (1979). Diffusions, Markov Processes, and Martingales, Vol. I. John Wiley, Chichester. Mathematical Reviews (MathSciNet): MR531031
URI: http://wrap.warwick.ac.uk/id/eprint/2490

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us