Introduces autorelevance functions as lag importance measures for time series forecasting using Shapley values and a novel one-step forecast replacement for absent features.
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Autorelevance function and other feature relevance measures for univariate time series
Introduces autorelevance functions as lag importance measures for time series forecasting using Shapley values and a novel one-step forecast replacement for absent features.