DOI

We consider a stochastic model of changing random loads of information flows. The basic random process we exploit is a Double Stochastic Poisson process which manages the change points of the random loads. This Double Stochastic Poisson process is equipped with a Gamma distributed random intensity. The shape parameter of the random intensity equals 2-2H, where 1/2 < H < 1 is the Hurst constant for the corresponding long memory self-similarity. We consider pathwise integral of such kind random load process. Turning to infinity jointly the scale parameter of the random intensity and the variance of the random loads we obtain in a limit a random process with continuous piecewise linear trajectories. Such limit process has the covariance which explicitly coincides with the fractional Brownian motion covariance.

Original languageEnglish
Title of host publicationProceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages183-189
Number of pages7
ISBN (Electronic)9781728119298
DOIs
StatePublished - 2019
Event2nd European Conference on Electrical Engineering and Computer Science, EECS 2018 - Bern, Switzerland
Duration: 20 Dec 201822 Dec 2018

Publication series

NameProceedings - 2018 2nd European Conference on Electrical Engineering and Computer Science, EECS 2018

Conference

Conference2nd European Conference on Electrical Engineering and Computer Science, EECS 2018
Country/TerritorySwitzerland
CityBern
Period20/12/1822/12/18

    Research areas

  • Fractional Brownian motion, Laplace transform, Long memory, Poisson process, Random intensity

    Scopus subject areas

  • Statistics and Probability
  • Economics, Econometrics and Finance (miscellaneous)

ID: 49944692