DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
type: Item
instance of: scholarly article
title: DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
zbMATH Open document ID: 1280.68195
author: Shohei Shimizu
author: Takanori Inazumi
author: Yasuhiro Sogawa
author: Aapo Hyvärinen
author: Yoshinobu Kawahara
author: Takashi Washio
author: Patrik O. Hoyer
author: Kenneth A. Bollen
published in: Journal of Machine Learning Research
publication date: 2011-04-01T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62E10
Mathematics Subject Classification ID: 62F15
zbMATH Keywords: structural equation models
zbMATH Keywords: Bayesian networks
zbMATH Keywords: independent component analysis
zbMATH Keywords: non-Gaussianity
zbMATH Keywords: causal discovery
MaRDI profile type: Publication
OpenAlex ID: W2132507555
full work available at URL: shimizu11a.pdf
description: scientific article