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Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy

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  • Zunino, L.
  • Pérez, D.G.
  • Kowalski, A.
  • Martín, M.T.
  • Garavaglia, M.
  • Plastino, A.
  • Rosso, O.A.

Abstract

In this work, we analyze two important stochastic processes, the fractional Brownian motion and fractional Gaussian noise, within the framework of the Tsallis permutation entropy. This entropic measure, evaluated after using the Bandt & Pompe method to extract the associated probability distribution, is shown to be a powerful tool to characterize fractal stochastic processes. It allows for a better discrimination of the processes than the Shannon counterpart for appropriate ranges of values of the entropic index. Moreover, we find the optimum value of this entropic index for the stochastic processes under study.

Suggested Citation

  • Zunino, L. & Pérez, D.G. & Kowalski, A. & Martín, M.T. & Garavaglia, M. & Plastino, A. & Rosso, O.A., 2008. "Fractional Brownian motion, fractional Gaussian noise, and Tsallis permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(24), pages 6057-6068.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:24:p:6057-6068
    DOI: 10.1016/j.physa.2008.07.004
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    References listed on IDEAS

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    15. Rosso, Osvaldo A. & De Micco, Luciana & Plastino, A. & Larrondo, Hilda A., 2010. "Info-quantifiers’ map-characterization revisited," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4604-4612.
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