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Computing Probability Intervals Under Independency Constraints
Linda van der Gaag
Abstract:
Many AI researchers argue that probability theory is only capable of dealing with uncertainty in situations where a full specification of a joint probability distribution is available, and conclude that it is not suitable for application in knowledge-based systems. Probability intervals, however, constitute a means for expressing incompleteness of information. We present a method for computing such probability intervals for probabilities of interest from a partial specification of a joint probability distribution. Our method improves on earlier approaches by allowing for independency relationships between statistical variables to be exploited.
Keywords:
Pages: 491-497
PS Link:
PDF Link: /papers/90/p491-van_der_gaag.pdf
BibTex:
@INPROCEEDINGS{van der Gaag90,
AUTHOR = "Linda van der Gaag
",
TITLE = "Computing Probability Intervals Under Independency Constraints",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "491--497"
}
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