English

Hawkes and INAR($\infty$) processes

Probability 2022-08-18 v1

Abstract

In this paper, we discuss integer-valued autoregressive time series (INAR), Hawkes point processes, and their interrelationship. Besides presenting structural analogies, we derive a convergence theorem. More specifically, we generalize the well-known INAR(pp), pNp\in\mathbb{N}, time series model to a corresponding model of infinite order: the INAR(\infty) model. We establish existence, uniqueness, finiteness of moments, and give formulas for the autocovariance function as well as for the joint moment-generating function. Furthermore, we derive an AR(\infty), an MA(\infty), and a branching-process representation for the model. We compare Hawkes process properties with their INAR(\infty) counterparts. Given a Hawkes process NN, in the main theorem of the paper we construct an INAR(\infty)-based family of point processes and prove its convergence to NN. This connection between INAR and Hawkes models will be relevant in applications.

Cite

@article{arxiv.1509.02007,
  title  = {Hawkes and INAR($\infty$) processes},
  author = {Matthias Kirchner},
  journal= {arXiv preprint arXiv:1509.02007},
  year   = {2022}
}

Comments

26 pages

R2 v1 2026-06-22T10:50:41.234Z