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Predicting graphical models based on functional data
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DOI：10.1016/j.ijar.2025.109493.png)
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Abstract
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• We put forward a novel method for predicting graphical models based on functional data. • The proposed method not only considers the dynamic changes in graphical models but also predicts their future forms. • The method offers a flexible framework that allows for the integration of various time series models. • Extensive simulation experiments and real data analysis are provided.
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