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The Length of the Longest Head-Run in a Model with Long Range Dependence

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  • Thomas M. Lewis

    (Furman University)

Abstract

In this paper, we construct stationary sequences of random variables {χ i : i≥0} taking values ±1 with probability 1/2 and we prove an Erdös–Rényi law of large numbers for the length of the longest run of consecutive +1's in the sample {χ0,..., χ n }. Our model, which is called random walk in random scenery, exhibits long-range, positive dependence.

Suggested Citation

  • Thomas M. Lewis, 2001. "The Length of the Longest Head-Run in a Model with Long Range Dependence," Journal of Theoretical Probability, Springer, vol. 14(2), pages 357-378, April.
  • Handle: RePEc:spr:jotpro:v:14:y:2001:i:2:d:10.1023_a:1011107629319
    DOI: 10.1023/A:1011107629319
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    References listed on IDEAS

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    1. Khoshnevisan, Davar & Lewis, Thomas M., 1998. "A law of the iterated logarithm for stable processes in random scenery," Stochastic Processes and their Applications, Elsevier, vol. 74(1), pages 89-121, May.
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