Functional linear non-Gaussian acyclic model for causal discovery
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DOI: 10.1007/s41237-024-00226-5
Abstract: 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 of variables and their respective connection strengths. However, LiNGAM can only… read more here.
Keywords: acyclic model; linear non; causal; gaussian acyclic ... See more keywords