• Media type: E-Article
  • Title: Long range dependence for stable random processes
  • Contributor: Makogin, Vitalii [Author]; Oesting, Marco [Author]; Rapp, Albert [Author]; Spodarev, Evgeny [Author]
  • imprint: Oxford, UK: John Wiley & Sons, Ltd, 2021
  • Language: English
  • DOI: https://doi.org/10.1111/jtsa.12560
  • ISSN: 1467-9892
  • Keywords: level set ; characteristic function ; long/short range dependence ; positive association ; extremal coefficient ; moving average ; Brown‐Resnick process ; alpha‐stable ; long/short memory ; extremal Gaussian process ; max‐stable
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  • Description: We investigate long and short memory in α-stable moving averages and max-stable processes with α-Fréchet marginal distributions. As these processes are heavy-tailed, we rely on the notion of long range dependence based on the covariance of indicators of excursion sets. Sufficient conditions for the long and short range dependence of α-stable moving averages are proven in terms of integrability of the corresponding kernel functions. For max-stable processes, the extremal coefficient function is used to state a necessary and sufficient condition for long range dependence.
  • Access State: Open Access
  • Rights information: Attribution (CC BY) Attribution (CC BY)