DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
zbMath1280.68195OpenAlexW2132507555MaRDI QIDQ6482971
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth A. Bollen
Publication date: April 2011
Published in: Journal of Machine Learning Research (Search for Journal in Brave)
Full work available at URL: https://www.jmlr.org/papers/volume12/shimizu11a/shimizu11a.pdf
Bayesian networksindependent component analysisstructural equation modelscausal discoverynon-Gaussianity
Linear regression; mixed models (62J05) Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Characterization and structure theory of statistical distributions (62E10)
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