因果效应识别中聚类操作的不变性研究

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   arXiv · Statistics Machine Learning

   因果效应识别中聚类操作的不变性

   论文提出因果图中聚类操作的不变性条件。任意聚类可能改变变量间关键因果关系并导致错误结论，聚类图可识别通常蕴含原图可识别，但逆命题需额外假设；当可识别与不可识别都被保持时，该操作称为识别不变。作者给出基于原图 c-components 条件的一大类识别不变聚类操作，并展示其实际应用。

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

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