Uncertainty in Artificial Intelligence
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A Criterion for Parameter Identification in Structural Equation Models
Jin Tian
Abstract:
This paper deals with the problem of identifying direct causal effects in recursive linear structural equation models. The paper establishes a suffi- cient criterion for identifying individual causal effects and provides a procedure computing identified causal effects in terms of observed covariance matrix.
Keywords:
Pages: 392-399
PS Link:
PDF Link: /papers/07/p392-tian.pdf
BibTex:
@INPROCEEDINGS{Tian07,
AUTHOR = "Jin Tian ",
TITLE = "A Criterion for Parameter Identification in Structural Equation Models",
BOOKTITLE = "Proceedings of the Twenty-Third Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-07)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2007",
PAGES = "392--399"
}


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