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In this chapter we present LiNGAM (Linear Non-Gaussian Acyclic Model), a method that identifies a causal ordering of variables based on non-Gaussianity. In contrast to the PC algorithm and score-based structure learning, LiNGAM assumes an additive noise model and directly recovers a causal order of variables.

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LiNGAM

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  • 发表日期：

    2026年

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  • Joe Suzuki

摘要

In this chapter we present LiNGAM (Linear Non-Gaussian Acyclic Model), a method that identifies a causal ordering of variables based on non-Gaussianity. In contrast to the PC algorithm and score-based structure learning, LiNGAM assumes an additive noise model and directly recovers a causal order of variables.