Estimation of causal effects using linear non-Gaussian causal models with hidden variables
type: Item
instance of: scholarly article
title: Estimation of causal effects using linear non-Gaussian causal models with hidden variables
zbMATH Open document ID: 1184.62224
author: Patrik O. Hoyer
author: Shohei Shimizu
author: Antti J. Kerminen
author: Markus Palviainen
published in: International Journal of Approximate Reasoning
publication date: 2010-04-07T00:00:00Z
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 5690001
zbMATH Keywords: causal discovery
zbMATH Keywords: structural equation models
zbMATH Keywords: independent component analysis
zbMATH Keywords: non-Gaussianity
zbMATH Keywords: latent variables
describes a project that uses: FastICA
describes a project that uses: TETRAD
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: j.ijar.2008.02.006
OpenAlex ID: W2093947494
cites work: Q3995960
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cites work: Causation, prediction, and search
DOI: 10.1016/J.IJAR.2008.02.006
description: scientific article; zbMATH DE number 5690001