Generic Identifiability of Linear Structural Equation Models by Ancestor Decomposition

DOI10.1111/sjos.12227zbMath1373.62250arXiv1504.02992OpenAlexW2201599271WikidataQ57566364 ScholiaQ57566364MaRDI QIDQ2835308

Luca Weihs, Mathias Drton

Publication date: 2 December 2016

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1504.02992

zbMATH Keywords

parameter identificationstructural equation modelsgeneric identifiabilityhalf-trek criterion

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05)

Related Items (6)

Identifiability in Continuous Lyapunov Models ⋮ Nested covariance determinants and restricted trek separation in Gaussian graphical models ⋮ Identifying dynamical time series model parameters from equilibrium samples, with application to gene regulatory networks ⋮ Experimental Design Issues in Big Data: The Question of Bias ⋮ Identifiability of directed Gaussian graphical models with one latent source ⋮ Half-trek criterion for identifiability of latent variable models

Uses Software

• R

Cites Work

• Global identifiability of linear structural equation models
• Half-trek criterion for generic identifiability of linear structural equation models
• On the completeness of an identifiability algorithm for semi-Markovian models
• Unnamed Item

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