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Oct, 2020
从观察数据中推断因果方向：复杂性方法
Inferring Causal Direction from Observational Data: A Complexity Approach
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Nikolaos Nikolaou, Konstantinos Sechidis
TL;DR
通过在离散或连续随机变量之间预测因变量来区分因果关系，我们提出了多个简单快速的标准，以检验因果关系，适用于广泛的因果机制和数据噪声类型。
Abstract
At the heart of
causal structure learning
from
observational data
lies a deceivingly simple question: given two statistically dependent
random va
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