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Correlated continuous time random walks

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  • Meerschaert, Mark M.
  • Nane, Erkan
  • Xiao, Yimin

Abstract

Continuous time random walks impose a random waiting time before each particle jump. Scaling limits of heavy-tailed continuous time random walks are governed by fractional evolution equations. Space-fractional derivatives describe heavy-tailed jumps, and the time-fractional version codes heavy-tailed waiting times. This paper develops scaling limits and governing equations in the case of correlated jumps. For long-range dependent jumps, this leads to fractional Brownian motion or linear fractional stable motion, with the time parameter replaced by an inverse stable subordinator in the case of heavy-tailed waiting times. These scaling limits provide an interesting class of non-Markovian, non-Gaussian self-similar processes.

Suggested Citation

  • Meerschaert, Mark M. & Nane, Erkan & Xiao, Yimin, 2009. "Correlated continuous time random walks," Statistics & Probability Letters, Elsevier, vol. 79(9), pages 1194-1202, May.
    • Handle: RePEc:eee:stapro:v:79:y:2009:i:9:p:1194-1202
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    1. Meerschaert, Mark M. & Nane, Erkan & Xiao, Yimin, 2013. "Fractal dimension results for continuous time random walks," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1083-1093.
    2. Chen, Zhenlong & Xu, Lin & Zhu, Dongjin, 2015. "Generalized continuous time random walks and Hermite processes," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 44-53.
    3. Kumar, A. & Meerschaert, Mark M. & Vellaisamy, P., 2011. "Fractional normal inverse Gaussian diffusion," Statistics & Probability Letters, Elsevier, vol. 81(1), pages 146-152, January.
    4. 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.

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