Estimation of the Memory Parameter of the ...
Document type :
Article dans une revue scientifique: Article original
DOI :
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Title :
Estimation of the Memory Parameter of the Infinite Source Poisson Process
Author(s) :
Fay, Gilles [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Roueff, François [Auteur]
Laboratoire Traitement et Communication de l'Information [LTCI]
Soulier, Philippe [Auteur]
Modélisation aléatoire de Paris X [MODAL'X]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Roueff, François [Auteur]
Laboratoire Traitement et Communication de l'Information [LTCI]
Soulier, Philippe [Auteur]
Modélisation aléatoire de Paris X [MODAL'X]
Journal title :
Bernoulli
Pages :
473--491
Publisher :
Bernoulli Society for Mathematical Statistics and Probability
Publication date :
2007
ISSN :
1350-7265
HAL domain(s) :
Mathématiques [math]/Statistiques [math.ST]
English abstract : [en]
Long-range dependence induced by heavy tails is a widely reported feature of internet traffic. Long-range dependence can be defined as the regular variation of the variance of the integrated process, and half the index of ...
Show more >Long-range dependence induced by heavy tails is a widely reported feature of internet traffic. Long-range dependence can be defined as the regular variation of the variance of the integrated process, and half the index of regular variation is then referred to as the Hurst index. The infinite-source Poisson process (a particular case of which is the $M/G/\infty$ queue) is a simple and popular model with this property, when the tail of the service time distribution is regularly varying. The Hurst index of the infinite-source Poisson process is then related to the index of regular variation of the service times. In this paper, we present a wavelet-based estimator of the Hurst index of this process, when it is observed either continuously or discretely over an increasing time interval. Our estimator is shown to be consistent and robust to some form of non-stationarity. Its rate of convergence is investigated.Show less >
Show more >Long-range dependence induced by heavy tails is a widely reported feature of internet traffic. Long-range dependence can be defined as the regular variation of the variance of the integrated process, and half the index of regular variation is then referred to as the Hurst index. The infinite-source Poisson process (a particular case of which is the $M/G/\infty$ queue) is a simple and popular model with this property, when the tail of the service time distribution is regularly varying. The Hurst index of the infinite-source Poisson process is then related to the index of regular variation of the service times. In this paper, we present a wavelet-based estimator of the Hurst index of this process, when it is observed either continuously or discretely over an increasing time interval. Our estimator is shown to be consistent and robust to some form of non-stationarity. Its rate of convergence is investigated.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
Final version
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Source :
Submission date :
2025-01-24T17:36:18Z
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