Graphical condition for identification in recursive SEM

Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006

Volumn , Issue , 2006, Pages 47-54

  Brito, Carlos ^a   Pearl, Judea ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

DIRECTED ACYCLIC GRAPHS; STATISTICAL DATAS; STRUCTURAL EQUATIONS; SUFFICIENT CONDITIONS;

ARTIFICIAL INTELLIGENCE;

EID: 36348940497     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

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3. C. Brito. Graphical Methods for Identification in Structural Equation Models. PhD thesis, Dept. of Comp. Sc., University of California, Los Angeles, 2004.
4. C. Brito and J. Pearl. A graphical criterion for the identification of causal effects in linear models. In Proc. of the AAAI Conference, Edmonton, 2002.
5. O.D. Duncan. Introduction to Structural Equation Models. Academic Press, 1975.
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10. J. Pearl. Causality: Models, Reasoning and Inference. Cambridge Press, 2000.
11. E.E. Rigdon. A necessary and sufficient identification rule for structural models estimated in practice. Multivariate Behavioral Research, 30(3):359-383, 1995.
12. R. Bowden D. Turkington. Instrumental Variables. Cambridge Press, 1984.
13. S. Wright. The method of path coefficients. An. Math. Stat., 5:161-215, 1934.