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On exponential limit laws for hitting times of rare sets for Harris chains and processes

Published online by Cambridge University Press:  14 July 2016

Peter W. Glynn*
Affiliation:
Stanford University, Department of Management Science and Engineering, Stanford University, Huang Engineering Center 357, Stanford, CA 94305, USA. Email address: [email protected]
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Abstract

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This paper provides a simple proof for the fact that the hitting time to an infrequently visited subset for a one-dependent regenerative process converges weakly to an exponential distribution. Special cases are positive recurrent Harris chains and Harris processes. The paper further extends this class of limit theorems to ‘rewards’ that are cumulated to the hitting time of such a rare set.

Type
Part 7. Queueing Theory and Markov Processes
Copyright
Copyright © Applied Probability Trust 2011 

References

[1] Asmussen, S., (1998). Extreme value theory for queues via cycle maxima. Extremes 1, 137168.Google Scholar
[2] Asmussen, S., (2003). Applied Probability and Queues, 2nd edn. Springer, New York.Google Scholar
[3] Asmussen, S. and Glynn, P. W., (2011). Harris recurrence and MCMC: a simplified approach. Submitted.Google Scholar
[4] Asmussen, S. and Perry, D., (1992). On cycle maxima, first passage problems and extreme value theory for queues. Commun. Statist. Stoch. Models 8, 421458.Google Scholar
[5] Athreya, K. B., (1988). Hitting times of decreasing sets for regenerative processes. J. Appl. Prob. 25, 8996.Google Scholar
[6] Baccelli, F. and McDonald, D. R., (2000). Rare events for stationary processes. Stoch. Process. Appl. 89, 141173.Google Scholar
[7] Billingsley, P., (1968). Convergence of Probability Measures. John Wiley, New York.Google Scholar
[8] Cogburn, R., (1985). On the distribution of first passage and return times for small sets. Ann. Prob. 13, 12191223.Google Scholar
[9] Glasserman, P. and Kou, S.-G., (1995). Limits of first passage times to rare sets in regenerative processes. Ann. Appl. Prob. 5, 424445.CrossRefGoogle Scholar
[10] Glynn, P. W., (1982). Simulation output analysis for general state space Markov chains. , Department of Operations Research, Stanford University.Google Scholar
[11] Korolyuk, D. V. and Sil'vestrov, D. S., (1984). Entry times into asymptotically receding domains for ergodic Markov chains. Theory Prob. Appl. 28, 432442.Google Scholar
[12] Madan, D. B., Carr, P. P. and Chang, E. C., (1998). The variance gamma process and option pricing. Europ. Finance Rev. 2, 79105.Google Scholar
[13] Meyn, S. P. and Tweedie, R. L., (2009). Markov Chains and Stochastic Stability, 2nd edn. Cambridge University Press.CrossRefGoogle Scholar
[14] Sigman, K., (1990). One-dependent regenerative processes and queues in continuous time. Math. Operat. Res. 15, 175189.Google Scholar