Spectral estimates and stable processes

Claudia Klüppelberg, Thomas Mikosch

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Let Xt = ∑ j = -∞ ∞ ψjZt-j be a discrete time moving average process based on i.i.d. symmetric random variables {Zt} with a common distribution function from the domain of normal attraction of a p-stable law (0 < p < 2). We derive the limit distribution of the normalized periodogram In,X(λ) = |n -1 p ∑ t = 1 n Xt e-itλ|2, -π ≤ λ ≤ π. This generalizes the classical result for p = 2. In contrast to the classical case, for values 0 < λ1 < ⋯ < λm < π the periodogram ordinates In, Xi), i = 1, ..., m, are not asymptotically independent.

Original languageEnglish
Pages (from-to)323-344
Number of pages22
JournalStochastic Processes and their Applications
Volume47
Issue number2
DOIs
StatePublished - Sep 1993
Externally publishedYes

Keywords

  • characteristic function
  • general linear model
  • moving average processes
  • periodogram
  • spectral estimate
  • spectral measure
  • stable laws
  • stable processes

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