Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers

DOI10.1080/10618600.2022.2069776OpenAlexW3208245405MaRDI QIDQ5057262

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Publication date: 16 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2111.01560

zbMATH Keywords

causalityquadratic variance functionstructural equation model (SEM)non-Gaussian DAG

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• pcalg
• glmnet
• bnlearn
• TETRAD
• DirectLiNGAM

Cites Work

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• Emergence of Scaling in Random Networks
• 10.1162/153244303321897717
• On causal discovery with an equal-variance assumption
• High-dimensional causal discovery under non-Gaussianity
• Identifiability of Gaussian structural equation models with equal error variances
• Constrained likelihood for reconstructing a directed acyclic Gaussian graph

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