Author

Kentaro Kanamori

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#machine learning Preprint Oct 2026

AdaPS-LiNGAM: Adaptive Predecessor Selection for Linear Non-Gaussian Acyclic Models under Small-Sample Settings

AdaPS-LiNGAM (Adaptive Predecessor Selection LiNGAM), which provides accurate causal-structure recovery in sample-limited settings and degrades more gradually as the sample size decreases, is demonstrated.

Shun Yanashima, Kentaro Kanamori, Hirofumi Suzuki · 0 citations