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Excursions and path functionals for stochastic processes with asymptotically zero drifts

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  • Hryniv, Ostap
  • Menshikov, Mikhail V.
  • Wade, Andrew R.

Abstract

We study discrete-time stochastic processes (Xt) on [0,∞) with asymptotically zero mean drifts. Specifically, we consider the critical (Lamperti-type) situation in which the mean drift at x is about c/x. Our focus is the recurrent case (when c is not too large). We give sharp asymptotics for various functionals associated with the process and its excursions, including results on maxima and return times. These results include improvements on existing results in the literature in several respects, and also include new results on excursion sums and additive functionals of the form ∑s≤tXsα, α>0. We make minimal moments assumptions on the increments of the process. Recently there has been renewed interest in Lamperti-type process in the context of random polymers and interfaces, particularly nearest-neighbour random walks on the integers; some of our results are new even in that setting. We give applications of our results to processes on the whole of R and to a class of multidimensional ‘centrally biased’ random walks on Rd; we also apply our results to the simple harmonic urn, allowing us to sharpen existing results and to verify a conjecture of Crane et al.

Suggested Citation

  • Hryniv, Ostap & Menshikov, Mikhail V. & Wade, Andrew R., 2013. "Excursions and path functionals for stochastic processes with asymptotically zero drifts," Stochastic Processes and their Applications, Elsevier, vol. 123(6), pages 1891-1921.
    • Handle: RePEc:eee:spapps:v:123:y:2013:i:6:p:1891-1921
    DOI: 10.1016/j.spa.2013.02.001
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    References listed on IDEAS

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    1. Aspandiiarov, S. & Iasnogorodski, R., 1997. "Tails of passage-times and an application to stochastic processes with boundary reflection in wedges," Stochastic Processes and their Applications, Elsevier, vol. 66(1), pages 115-145, February.
    2. Grill, Karl, 1988. "On the average of a random walk," Statistics & Probability Letters, Elsevier, vol. 6(5), pages 357-361, April.
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