AINeutralarXiv – CS AI · 7h ago6/10
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Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
Researchers propose a nonparametric mutual information estimator that quantifies dependence between continuous time series and discrete temporal event sequences without requiring data transformation or ad hoc discretization. The method addresses limitations in existing approaches through latent event clustering and continuous-discrete duality modeling, offering robust applications across causality analysis, pattern discovery, and feature selection tasks.