深度序列模型时间序列共形预测研究

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   arXiv · Statistics Machine Learning

   深度序列模型在时间序列 Conformal Prediction 中的应用

   该研究系统探讨了深度序列模型在时间序列 Conformal Prediction 中的应用，提出条件分位数回归、条件分位数函数估计和局部化 Conformal Prediction 三种方法。理论分析在适当假设下为三种方法建立了渐近条件覆盖保证，真实数据集实验验证了其有效性。

Current heat 5·Comparable peak 10（Oct 5）·Comparable change over 24 hours -50%

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