Uncertainty in Artificial Intelligence
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Selection of Identifiability Criteria for Total Effects by using Path Diagrams
Manabu Kuroki, Zhihong Cai
Abstract:
Pearl has provided the back door criterion, the front door criterion and the conditional instrumental variable (IV) method as identifiability criteria for total effects. In some situations, these three criteria can be applied to identifying total effects simultaneously. For the purpose of increasing estimating accuracy, this paper compares the three ways of identifying total effects in terms of the asymptotic variance, and concludes that in some situations the superior of them can be recognized directly from the graph structure.
Keywords: null
Pages: 333-340
PS Link:
PDF Link: /papers/04/p333-kuroki.pdf
BibTex:
@INPROCEEDINGS{Kuroki04,
AUTHOR = "Manabu Kuroki and Zhihong Cai",
TITLE = "Selection of Identifiability Criteria for Total Effects by using Path Diagrams",
BOOKTITLE = "Proceedings of the Twentieth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-04)",
PUBLISHER = "AUAI Press",
ADDRESS = "Arlington, Virginia",
YEAR = "2004",
PAGES = "333--340"
}


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