A causal discovery algorithm based on the prior selection of leaf nodes

DOI10.1016/j.neunet.2019.12.020zbMath1434.68482OpenAlexW2999054701WikidataQ92998437 ScholiaQ92998437MaRDI QIDQ2185711

Ruichu Cai, Ruihui Huang, Zhifeng Hao, Liang Ou, Yan Zeng, Feng Xie

Publication date: 5 June 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2019.12.020

zbMATH Keywords

causal discoverycausal orderleaf nodeslinear non-Gaussian acyclic models

Mathematics Subject Classification ID

Multivariate analysis (62H99) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• TETRAD
• DirectLiNGAM

Cites Work

• Estimating exogenous variables in data with more variables than observations
• Causation, prediction, and search
• Independent component analysis in the presence of Gaussian noise by maximizing joint likelihood
• High-dimensional learning of linear causal networks via inverse covariance estimation
• Biological Sequence Analysis
• ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders
• Analyse générale des liaisons stochastiques: etude particulière de l'analyse factorielle linéaire
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