eCommons

 

Function-indexed empirical processes based on an infinite source Poisson transmission stream

dc.contributor.authorRoueff, Francois
dc.contributor.authorSamorodnitsky, Gennady
dc.contributor.authorSoulier, Philippe
dc.date.accessioned2010-04-08T13:18:37Z
dc.date.available2010-04-08T13:18:37Z
dc.date.issued2010-04-08T13:18:37Z
dc.description.abstractWe study the asymptotic behavior of empirical processes generated by measurable bounded functions of an infinite source Poisson transmission process when the session length have infinite variance. In spite of the boundedness of the function, the normalized fluctuations of such an empirical process converge to a non-Gaussian stable process. This phenomenon can be viewed as caused by the long-range dependence in the transmission process. Completing previous results on the empirical mean of similar types of processes, our results on non-linear bounded functions exhibit the influence of the limit transmission rate distribution at high session lengths on the asymptotic behavior of the empirical process. As an illustration, we apply the main result to estimation of the distribution function of the steady state value of the transmission process.en_US
dc.description.sponsorshipSamorodnitsky's research was partially supported by the ARO grant W911NF-07-1-0078 at Cornell University, Department of Mathematics, Universite de Paris Ouest Nanterre during his visit in 2007, Laboratory of Actuarial Mathematics, Department of Mathematics, University of Copenhagen and by Laboratory of Informatics, Technical University of Denmark, during his sabbatical stay in 2008-2009en_US
dc.identifier.urihttps://hdl.handle.net/1813/14725
dc.language.isoen_USen_US
dc.subjectempirical processen_US
dc.subjectlong range dependenceen_US
dc.subjectshot noiseen_US
dc.subjectPoisson arrivalsen_US
dc.titleFunction-indexed empirical processes based on an infinite source Poisson transmission streamen_US
dc.typearticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Busy-final.pdf
Size:
270.77 KB
Format:
Adobe Portable Document Format
Description:
Main article