While statistical methods and models for spatial point processes with scalar marks are rather well-established, their counterparts for functional marked spatio-temporal point processes remain in their infancy. As a result, this has become a growing research topic, driven by advances in data collection, storage, and availability. Representative instances include earthquake and hurricane data, which involve functional marks and exhibit self-exciting behaviour. We contribute to this emerging area by developing a marked functional Hawkes point process and applying the proposed model to analyse hurricane data in the Atlantic Basin.
Giada Lo Galbo, Giada Adelfio, Marcello Chiodi, Mohammad Ghorbani (2025). Functional Marked Hawkes Processes, with a View to Model Hurricanes Data. In Statistics for Innovation III (pp. 427-433). Enrico di Bella; Vincenzo Gioia; Corrado Lagazio; Susanna Zaccarin [10.1007/978-3-031-95995-0_71].
Functional Marked Hawkes Processes, with a View to Model Hurricanes Data
Giada Lo Galbo
Conceptualization
;Giada AdelfioConceptualization
;Marcello ChiodiConceptualization
;
2025-06-17
Abstract
While statistical methods and models for spatial point processes with scalar marks are rather well-established, their counterparts for functional marked spatio-temporal point processes remain in their infancy. As a result, this has become a growing research topic, driven by advances in data collection, storage, and availability. Representative instances include earthquake and hurricane data, which involve functional marks and exhibit self-exciting behaviour. We contribute to this emerging area by developing a marked functional Hawkes point process and applying the proposed model to analyse hurricane data in the Atlantic Basin.File | Dimensione | Formato | |
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