A Criterion for Parameter Identification in Structural Equation Models
Methodology
2012-06-26 v1 Artificial Intelligence
Abstract
This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. The paper establishes a sufficient criterion for identifying individual causal effects and provides a procedure computing identified causal effects in terms of observed covariance matrix.
Cite
@article{arxiv.1206.5289,
title = {A Criterion for Parameter Identification in Structural Equation Models},
author = {Jin Tian},
journal= {arXiv preprint arXiv:1206.5289},
year = {2012}
}
Comments
Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007)