Researcher profile
Ikeda, Kazushi
1 paper in the PaperMetrix corpus
Publications
Papers by this author
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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 …