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Descriptors for point processes based on runs: the Markovian arrival process

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  • Marcel F. Neuts

Abstract

This paper is part of a broader investigation of properties of a point process that can be identified by imagining that the process is involved in a competition for the generation of runs of events. The general purpose of that methodology is to quantify the prevalence of gaps and bursts in realizations of the process. The Markovian arrival process (MAP) is highly versatile in qualitative behavior and its analysis is numerically tractable by matrix-analytic methods. It can therefore serve well as a benchmark process in that investigation. In this paper, we consider the MAP and a regular grid competing for runs of lengths at least r 1 and r 2 , respectively. A run of length r in one of the processes is defined as a string of r successive events occurring without an intervening event in the other process. This article is dedicated to the memory of Roland L. Dobrushin.

Suggested Citation

  • Marcel F. Neuts, 1996. "Descriptors for point processes based on runs: the Markovian arrival process," International Journal of Stochastic Analysis, Hindawi, vol. 9, pages 1-20, January.
    • Handle: RePEc:hin:jnijsa:417039
    DOI: 10.1155/S104895339600041X
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    Cited by:

    1. Marcel F. Neuts & Jian-Min Li, 1999. "Point Processes Competing for Runs: A New Tool for their Investigation," Methodology and Computing in Applied Probability, Springer, vol. 1(1), pages 29-53, July.

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