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Convergence of weighted sums of random variables with long-range dependence

Author

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  • Pipiras, Vladas
  • Taqqu, Murad S.

Abstract

Suppose that f is a deterministic function, is a sequence of random variables with long-range dependence and BH is a fractional Brownian motion (fBm) with index . In this work, we provide sufficient conditions for the convergencein distribution, as m-->[infinity]. We also consider two examples. In contrast to the case when the [xi]n's are i.i.d. with finite variance, the limit is not fBm if f is the kernel of the Weierstrass-Mandelbrot process. If however, f is the kernel function from the "moving average" representation of a fBm with index H', then the limit is a fBm with index .

Suggested Citation

  • Pipiras, Vladas & Taqqu, Murad S., 2000. "Convergence of weighted sums of random variables with long-range dependence," Stochastic Processes and their Applications, Elsevier, vol. 90(1), pages 157-174, November.
  • Handle: RePEc:eee:spapps:v:90:y:2000:i:1:p:157-174
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    Cited by:

    1. Kris Brabanter & Farzad Sabzikar, 2021. "Asymptotic theory for regression models with fractional local to unity root errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(7), pages 997-1024, October.

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