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Updated: Sep 10, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

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イントラシリーズとインターシリーズの移行シフトに対する堅牢な多変数時間シリーズ予測

Hui He, Qi Zhang, Kun Yi

    IEEE transactions on neural networks and learning systems
    |August 22, 2025
    PubMed
    まとめ

    この研究では,多変数タイムシリーズ (MTS) の予測における分布シフトに対処するための新しい確率グラフィックモデルであるJointPGMを導入します. JointPGMは,予測の精度を向上させるため,複雑な相関関係と時間変動のダイナミクスを効果的に捉えます.

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