A New Shape of Extremal Clusters For Certain Stationary Semi-Exponential Processes With Moderate Long Range Dependence
Probability
2021-07-06 v1
Abstract
Extremal clusters of stationary processes with long memory can be quite intricate. For certain stationary infinitely divisible processes with subexponential tails, including both power-like tails and certain lighter tails, e.g. lognormal-like tails, such clusters may take the shape of stable regenerative sets. In this paper we show that for semi-exponential tails, which are even lighter, a new shape of extremal clusters arises. In this case each stable regenerative set supports a random panoply of varying extremes.
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Cite
@article{arxiv.2107.01517,
title = {A New Shape of Extremal Clusters For Certain Stationary Semi-Exponential Processes With Moderate Long Range Dependence},
author = {Zaoli Chen and Gennady Samorodnitsky},
journal= {arXiv preprint arXiv:2107.01517},
year = {2021}
}
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41 pages