arXiv stat.ML
· Papers
Surrogate Modeling for Explainable Predictive Time Series Corrections
arXiv:2412.19897v3 Announce Type: replace Abstract: We introduce a local surrogate approach for explainable time-series forecasting. An initially non-interpretable predictive model to improve the forecast of a classical time-series 'base model' is used. 'Explainability' of the correction is provided by fitting the base