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cs.LG2024
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Yuqin Yang, Mohamed Nafea, Negar Kiyavash +2
The presence of unobserved common causes and measurement error poses two major obstacles to causal structure learning, since ignoring either source of complexity can induce spuriou…
cs.LG2024★ 6 cited
Functional Linear Non-Gaussian Acyclic Model for Causal Discovery
Tian-Le Yang, Kuang-Yao Lee, Kun Zhang +1
In causal discovery, non-Gaussianity has been used to characterize the complete configuration of a Linear Non-Gaussian Acyclic Model (LiNGAM), encompassing both the causal ordering…