前门模型下因果效应的灵活非参数推断

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   arXiv · Statistics Machine Learning

   Front-Door 模型下因果效应的灵活非参数推断

   该研究在 front-door 准则下，针对平均处理效应与处理组平均处理效应提出新型一步估计量与靶向最小损失估计量。估计量基于观测数据的多种参数化构建，可完全避免对中介密度建模，并兼容基于机器学习的灵活干扰项估计。

Current heat 6·Comparable peak 10（Oct 5）·Comparable change over 24 hours –

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