Uncertainty in Artificial Intelligence
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Instrumentality Tests Revisited
Blai Bonet
Abstract:
An instrument is a random variable thatallows the identification of parameters inlinear models when the error terms arenot uncorrelated.It is a popular method used in economicsand the social sciences that reduces theproblem of identification to the problemof finding the appropriate instruments.Few years ago, Pearl introduced a necessarytest for instruments that allows the researcher to discard those candidatesthat fail the test.In this paper, we make a detailed study of Pearl's test and the general model forinstruments. The results of this studyinclude a novel interpretation of Pearl'stest, a general theory of instrumentaltests, and an affirmative answer to aprevious conjecture. We also presentnew instrumentality tests for the casesof discrete and continuous variables.
Keywords:
Pages: 48-55
PS Link:
PDF Link: /papers/01/p48-bonet.pdf
BibTex:
@INPROCEEDINGS{Bonet01,
AUTHOR = "Blai Bonet ",
TITLE = "Instrumentality Tests Revisited",
BOOKTITLE = "Proceedings of the Seventeenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-01)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "2001",
PAGES = "48--55"
}


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