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093018 (M10) Guidelines for corrective replacement based on low stochastic structure assumptions : Newby M.J., Coolen P.F.A., Statistical Research Paper No 10, Department of Actuarial Science and Statistics, City University, UK, 1997


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
92 KB
Volume
20
Category
Article
ISSN
0167-6687

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โœฆ Synopsis


This paper introduces a new method to learn the probabilities defining a BBNs from databases with missing data. The intuition behind this method is close to the robust sensitivity analysis interpretation of probability; the method computes the extreme points of the set of possible distributions consistent with the available information and proceeds by refining this set as more information becomes available. This paper outlines the description of this method and presents some experimental results comparing this approach to the Gibbs Samplings.


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๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 92 KB

This paper introduces a new method to learn the probabilities defining a BBNs from databases with missing data. The intuition behind this method is close to the robust sensitivity analysis interpretation of probability; the method computes the extreme points of the set of possible distributions cons