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 language | English |
|---|---|
| Pages (from-to) | 1710-1743 |
| Number of pages | 34 |
| Journal | Stochastic Processes and their Applications |
| Volume | 126 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Jun 2016 |
| Externally published | Yes |
Keywords
- Bartlett spectrum
- Hawkes processes
- Locally stationary processes
- Point processes
- Time?frequency analysis
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