English

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.

Keywords

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

R2 v1 2026-06-24T06:53:34.644Z