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Small ball probabilities for a class of time-changed self-similar processes

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  • Kobayashi, Kei

Abstract

This paper establishes small ball probabilities for a class of time-changed processes X∘E, where X is a self-similar process and E is an independent continuous process, each with a certain small ball probability. In particular, examples of the outer process X and the time change E include an iterated fractional Brownian motion and the inverse of a general subordinator with infinite Lévy measure, respectively. The small ball probabilities of such time-changed processes show power law decay, and the rate of decay does not depend on the small deviation order of the outer process X, but on the self-similarity index of X.

Suggested Citation

  • Kobayashi, Kei, 2016. "Small ball probabilities for a class of time-changed self-similar processes," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 155-161.
  • Handle: RePEc:eee:stapro:v:110:y:2016:i:c:p:155-161
    DOI: 10.1016/j.spl.2015.12.024
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    References listed on IDEAS

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    1. Nane, Erkan, 2009. "Laws of the iterated logarithm for a class of iterated processes," Statistics & Probability Letters, Elsevier, vol. 79(16), pages 1744-1751, August.
    2. Meerschaert, Mark M. & Scheffler, Hans-Peter, 2008. "Triangular array limits for continuous time random walks," Stochastic Processes and their Applications, Elsevier, vol. 118(9), pages 1606-1633, September.
    3. Magdziarz, Marcin, 2009. "Stochastic representation of subdiffusion processes with time-dependent drift," Stochastic Processes and their Applications, Elsevier, vol. 119(10), pages 3238-3252, October.
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    Cited by:

    1. Kei Kobayashi & Hyunchul Park, 2023. "Spectral Heat Content for Time-Changed Killed Brownian Motions," Journal of Theoretical Probability, Springer, vol. 36(2), pages 1148-1180, June.

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