A Criterion for Parameter Identification in Structural Equation Models
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
Text
Tian. "A Criterion for Parameter Identification in Structural Equation Models." Conference on Uncertainty in Artificial Intelligence, 2007.Markdown
[Tian. "A Criterion for Parameter Identification in Structural Equation Models." Conference on Uncertainty in Artificial Intelligence, 2007.](https://mlanthology.org/uai/2007/tian2007uai-criterion/)BibTeX
@inproceedings{tian2007uai-criterion,
title = {{A Criterion for Parameter Identification in Structural Equation Models}},
author = {Tian, Jin},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2007},
pages = {392-399},
url = {https://mlanthology.org/uai/2007/tian2007uai-criterion/}
}