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Detecting periodicity from the trajectory of a random walk in random environment

Author

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  • Rémillard, Bruno N.
  • Vaillancourt, Jean

Abstract

For nearest neighbor univariate random walks in a periodic environment, where the probability of moving depends on a periodic function, we show how to estimate the period and the function. For random walks in non-periodic environments, we find that the asymptotic limit of the estimator is constant in the ballistic case, when the random walk is transient and the law of large numbers holds with a non zero limit. Numerical examples are given in the recurrent case, and the sub-ballistic case, where the random walk is transient but the law of large numbers yields a zero limit.

Suggested Citation

  • Rémillard, Bruno N. & Vaillancourt, Jean, 2019. "Detecting periodicity from the trajectory of a random walk in random environment," Statistics & Probability Letters, Elsevier, vol. 155(C), pages 1-1.
    • Handle: RePEc:eee:stapro:v:155:y:2019:i:c:2
    DOI: 10.1016/j.spl.2019.108568
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    References listed on IDEAS

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    1. Comets, Francis & Falconnet, Mikael & Loukianov, Oleg & Loukianova, Dasha & Matias, Catherine, 2014. "Maximum likelihood estimator consistency for a ballistic random walk in a parametric random environment," Stochastic Processes and their Applications, Elsevier, vol. 124(1), pages 268-288.
    2. Comets, Francis & Falconnet, Mikael & Loukianov, Oleg & Loukianova, Dasha, 2016. "Maximum likelihood estimator consistency for recurrent random walk in a parametric random environment with finite support," Stochastic Processes and their Applications, Elsevier, vol. 126(11), pages 3578-3604.
    3. Diel, Roland & Lerasle, Matthieu, 2018. "Non parametric estimation for random walks in random environment," Stochastic Processes and their Applications, Elsevier, vol. 128(1), pages 132-155.
    Full references (including those not matched with items on IDEAS)

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