Tail processes for stable-regenerative multiple-stable model
Probability
2022-12-29 v4
Abstract
We investigate a family of discrete-time stationary processes defined by multiple stable integrals and renewal processes with infinite means. The model may exhibit behaviors of short-range or long-range dependence, respectively, depending on the parameters. The main contribution is to establish a phase transition in terms of the tail processes that characterize local clustering of extremes. Moreover, in the short-range dependence regime, the model provides an example where the extremal index is different from the candidate extremal index.
Cite
@article{arxiv.2110.07499,
title = {Tail processes for stable-regenerative multiple-stable model},
author = {Shuyang Bai and Yizao Wang},
journal= {arXiv preprint arXiv:2110.07499},
year = {2022}
}
Comments
Minor revision. With a new title. 25 pages