KANJDP: Interpretable Temporal Point Process Modeling with Kolmogorov–Arnold Representation

Accurate modeling of event sequences is valuable in domains like electronic health records, financial risk management, and social networks. Random time intervals in these sequences contain key dynamic information, and temporal point processes (TPPs) are widely used to analyze event triggering mechan...

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Библиографические подробности

Главные авторы:	Ziwei Wu, Guangyin Jin, Xueqiang Gu, Chao Wang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-08-01
Серии:	Mathematics
Предметы:	temporal point processes Kolmogorov–Arnold networks jump-diffusion SDEs event prediction
Online-ссылка:	https://www.mdpi.com/2227-7390/13/17/2754
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