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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
Externí odkaz:
http://arxiv.org/abs/2404.11922
Autor:
Yu, Zihao, Guinto, Mark Christian S. G., Lim, Brian Godwin S., Tan, Renzo Roel P., Yoshimoto, Junichiro, Ikeda, Kazushi, Ohta, Yasumi, Ohta, Jun
Publikováno v:
Artificial Life & Robotics; Aug2023, Vol. 28 Issue 3, p483-495, 13p