Locally stationary Hawkes processes

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Abstract

This paper addresses the generalization of stationary Hawkes processes in order to allow for a time-evolving second-order analysis. Motivated by the concept of locally stationary autoregressive processes, we apply however inherently different techniques to describe the time-varying dynamics of self-exciting point processes. In particular we derive a stationary approximation of the Laplace functional of a locally stationary Hawkes process. This allows us to define a local mean density function and a local Bartlett spectrum which can be used to compute approximations of first and second order moments of the process. We complete the paper by some insightful simulation studies.

Original languageEnglish
Pages (from-to)1710-1743
Number of pages34
JournalStochastic Processes and their Applications
Volume126
Issue number6
DOIs
Publication statusPublished - 1 Jun 2016
Externally publishedYes

Keywords

  • Bartlett spectrum
  • Hawkes processes
  • Locally stationary processes
  • Point processes
  • Time?frequency analysis

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