LiNGAM
Joe Suzuki
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Joe Suzuki: Osaka University, Graduate School of Engineering Sciences
Chapter Chapter 6 in Graphical Models and Causal Discovery with Python, 2026, pp 97-126 from Springer
Abstract:
Abstract 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.
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-5308-2_6
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DOI: 10.1007/978-981-95-5308-2_6
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