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Jul, 2024
线性结构因果模型中识别复杂性研究
On the Complexity of Identification in Linear Structural Causal Models
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Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liskiewicz
TL;DR
使用新的算法,根据模型的图形结构和观察数据来估计线性结构因果模型中未知的因果参数,证明参数标识在一般情况下是计算上困难的。
Abstract
Learning the unknown causal parameters of a linear
structural causal model
is a fundamental task in
causal analysis
. The task, known as the problem of
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