Hawkes Processes
About
Hawkes processes are a particularly interesting class of stochastic process that have been applied in diverse areas, from earthquake modelling to financial analysis. They are point processes whose defining characteristic is that they 'self-excite', meaning that each arrival increases the rate of future arrivals for some period of time. Hawkes processes are well established, particularly within the financial literature, yet many of the treatments are inaccessible to one not acquainted with the topic. This survey provides background, introduces the field and historical developments, and touches upon all major aspects of Hawkes processes.
Patrick J. Laub, Thomas Taimre, Philip K. Pollett• 2015
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Trajectory Generation | FS-TKY (Foursquare) 2014 2016 (test) | Distance Error0.157 | 9 | |
| Trajectory Generation | FS-NYC (Foursquare) 2014/2016 (test) | Distance0.19 | 9 | |
| Trajectory Generation | FS-ATX Foursquare 2014/2016 (test) | Distance0.517 | 9 | |
| Trajectory Generation | GW-STO (Gowalla) 2011 (test) | Distance0.621 | 9 |
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