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An explainable machine learning framework for recurrent event data analysis
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DOI：10.1016/j.ejor.2025.09.005.png)
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Abstract
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• It introduces an explainable point process, Stratified Hawkes Point Process (SHPP). • SHPP can describe self-, Markovian, and joint influences. • It derives the sufficient condition for the mean-square stability of SHPP. • It demonstrate SHPP’s ability to explain complex event-driven systems.
Keywords:
(R) explainable machine learning
Counting process
Hawkes process
Stability
Explainable artificial intelligence
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