Precise Deviations for discrete marked Hawkes processes
Yingli Wang, Ping He

TL;DR
This paper investigates precise deviation probabilities for discrete marked Hawkes processes over large time scales, employing mod-$$ convergence theory to derive detailed asymptotic results.
Contribution
It introduces a novel application of mod-$$ convergence to analyze large and moderate deviations in discrete marked Hawkes processes.
Findings
Derived precise large deviation asymptotics
Established moderate deviation principles
Applied mod-$$ convergence to point process analysis
Abstract
In this paper, we study precise deviations including precise large deviations and moderate deviations for discrete marked Hawkes processes for large time asymptotics by using mod- convergence theory.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPoint processes and geometric inequalities
