Start and stop rules for exploratory path analysis

Structural Equation Modeling

Volumn 9, Issue 4, 2002, Pages 554-561

  Shipley, Bill ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012849621     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/S15328007SEM0904_5     Document Type: Article

References (13)

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3. Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo, CA: Kaufmann.
4. Pearl, J. (2000). Causality. Cambridge, England: Cambridge University Press.
5. Shipley, B. (1997). Exploratory path analysis with applications in ecology and evolution. American Naturalist, 149, 1113-1138.
6. Shipley, B. (2000a). A new inferential test for path models based on directed acyclic graphs. Structural Equation Modeling, 7, 206-218.
7. Shipley, B. (2000b). Cause and correlation in biology: A user's guide to path analysis, structural equations, and causal inference. Oxford, England: Oxford University Press.
8. Spirtes, P., Glymour, R., & Scheines, R. (1993). Causation, prediction, and search. New York: Springer-Verlag.
9. Spirtes, P., Glymour, C., & Scheines, R. (2000). Causation, prediction, and search (2nd ed.). Cambridge, MA: MIT Press.
10. Spirtes, P., Meek, A., & Richardson, T. (1995). Causal inference in the presence of latent variables and selection bias. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. San Francisco: Kaufmann.
11. Verma, T., & Pearl, J. (1988). Causal networks: Semantics and expressiveness. Proceedings of the 4th Workshop on Uncertainty in Artificial Intelligence. Mountain View, CA.
12. Verma, T., & Pearl, J. (1990). Equivalence and synthesis of causal models. In P. Bonissone, M. Henrion, L. N. Kanal, & J. F. Lemmer (Eds.), Uncertainty in artificial intelligence 6 (pp. 255-268). NewYork: Elsevier.
13. Verma, T., & Pearl, J. (1992). An algorithm for deciding if a set of observed independencies has a causal explanation. Proceedings of the 8th Conference on Uncertainty in Artificial Intelligence. Stanford, CA: Kaufmann.