Journal article
THE RUNNING MAXIMUM OF A LEVEL-DEPENDENT QUASI-BIRTH-DEATH PROCESS
Michel Mandjes, Peter Taylor
Probability in the Engineering and Informational Sciences | Cambridge University Press (CUP) | Published : 2016
Abstract
The objective of this note is to study the distribution of the running maximum of the level in a level-dependent quasi-birth-death process. By considering this running maximum at an exponentially distributed “killing epoch” T, we devise a technique to accomplish this, relying on elementary arguments only; importantly, it yields the distribution of the running maximum jointly with the level and phase at the killing epoch. We also point out how our procedure can be adapted to facilitate the computation of the distribution of the running maximum at a deterministic (rather than an exponential) epoch.
Grants
Awarded by NWO Gravitation Project NETWORKS
Awarded by Australian Research Council (ARC) Laureate Fellowship
Funding Acknowledgements
The authors wish to thank an anonymous referee for some insightful comments and for pointing out references [2,3,10]. Michel Mandjes' research is partly funded by the NWO Gravitation Project NETWORKS-grant number 024.002.003. Peter Taylor's research is supported by the Australian Research Council (ARC) Laureate Fellowship FL130100039 and the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).