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Linear Non-Gaussian Acyclic Models
Linear Non-Gaussian Acyclic Models
PulseAugur coverage of Linear Non-Gaussian Acyclic Models — every cluster mentioning Linear Non-Gaussian Acyclic Models across labs, papers, and developer communities, ranked by signal.
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New AdaPS-LiNGAM method improves causal discovery in small-sample settings
Researchers have developed AdaPS-LiNGAM, a novel method for causal discovery in linear non-Gaussian acyclic models, particularly addressing challenges in small-sample settings. The method improves upon the DirectLiNGAM …
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New method uses Wasserstein distance for ICA and causal inference
Researchers have developed a novel approach to Independent Component Analysis (ICA) and causal inference using the squared 2-Wasserstein distance to the standard Gaussian distribution as a measure of non-Gaussianity. Th…