Spectral estimates and stable processes
Let 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 . This generalizes the classical result for p = 2. In contrast to the classical case, for values 0 < [lambda]1 < ... < [lambda]m < [pi] the periodogram ordinates In, X([lambda]i), I = 1, ..., m, are not asymptotically independent.
Year of publication: |
1993
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Authors: | Klüppelberg, Claudia ; Mikosch, Thomas |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 47.1993, 2, p. 323-344
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Publisher: |
Elsevier |
Keywords: | moving average processes general linear model stable processes stable laws spectral estimate periodogram characteristic function spectral measure |
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