The Annals of Probability
- Ann. Probab.
- Volume 6, Number 5 (1978), 847-869.
Extremes of Moving Averages of Stable Processes
In this paper we study extremes of non-normal stable moving average processes, i.e., of stochastic processes of the form $X(t) = \Sigma a(\lambda - t)Z(\lambda)$ or $X(t) = \int a(\lambda - t) dZ(\lambda)$, where $Z(\lambda)$ is stable with index $\alpha < 2$. The extremes are described as a marked point process, consisting of the point process of (separated) exceedances of a level together with marks associated with the points, a mark being the normalized sample path of $X(t)$ around an exceedance. It is proved that this marked point process converges in distribution as the level increases to infinity. The limiting distribution is that of a Poisson process with independent marks which have random heights but otherwise are deterministic. As a byproduct of the proof for the continuous-time case, a result on sample path continuity of stable processes is obtained.
Ann. Probab., Volume 6, Number 5 (1978), 847-869.
First available in Project Euclid: 19 April 2007
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Rootzen, Holger. Extremes of Moving Averages of Stable Processes. Ann. Probab. 6 (1978), no. 5, 847--869. doi:10.1214/aop/1176995432. https://projecteuclid.org/euclid.aop/1176995432