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Predicting graphical models based on functional data

delete2025-06-03
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PRE
AI
Q
Qiying Wu
H
Huiwen Wang
DOI:10.1016/j.ijar.2025.109493delete
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Abstract

Abstract

En 中文
• 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.

Journal

International Journal of Approximate Reasoning cover
International Journal of Approximate Reasoning
IF:
3
Papers:
2.9K
Citations:
5.1K

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No organization information available