Identifiability of homoscedastic linear structural equation models using algebraic matroids

DOI10.1016/j.aam.2024.102794MaRDI QIDQ6655714

Mathias Drton, Benjamin Hollering, Jun Wu

Publication date: 27 December 2024

Published in: Advances in Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

directed graphidentifiabilitystructural equation modelsalgebraic matroidshomoscedastic errors

Mathematics Subject Classification ID

Combinatorial aspects of matroids and geometric lattices (05B35) Probabilistic graphical models (62H22) Algebraic statistics (62R01)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Half-trek criterion for generic identifiability of linear structural equation models
• Identifiability in phylogenetics using algebraic matroids
• Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes
• The Disentangling Number for Phylogenetic Mixtures
• High-dimensional learning of linear causal networks via inverse covariance estimation
• Algebraic Statistics
• Distinguishing Phylogenetic Networks
• On causal discovery with an equal-variance assumption
• Identifiability of Gaussian structural equation models with equal error variances

This page was built for publication: Identifiability of homoscedastic linear structural equation models using algebraic matroids