ملف الباحث

Ikeda, Kazushi

ورقة واحدة في مجموعة PaperMetrix

المنشورات

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  1. Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration

    2024 · arXiv (Cornell University)

    Effective causal discovery is essential for learning the causal graph from observational data. The linear non-Gaussian acyclic model (LiNGAM) operates under the assumption of a linear data generating process with non-Gaussian noise in determining the …