Sensitivity to evidence in Gaussian Bayesian networks using mutual information



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Gómez Villegas, Miguel A. and Main Yaque, Paloma and Viviani, Paola (2014) Sensitivity to evidence in Gaussian Bayesian networks using mutual information. Information sciences, 275 . pp. 115-126. ISSN 0020-0255

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We introduce a methodology for sensitivity analysis of evidence variables in Gaussian Bayesian networks. Knowledge of the posterior probability distribution of the target variable in a Bayesian network, given a set of evidence, is desirable. However, this evidence is not always determined; in fact, additional information might be requested to improve the solution in terms of reducing uncertainty. In this study we develop a procedure, based on Shannon entropy and information theory measures, that allows us to prioritize information according to its utility in yielding a better result. Some examples illustrate the concepts and methods introduced.

Item Type:Article
Uncontrolled Keywords:Entropy; Evidence propagation; Gaussian Bayesian network; Mutual information; Sensitivity analysis
Subjects:Sciences > Mathematics > Mathematical statistics
ID Code:26447
Deposited On:29 Jul 2014 08:52
Last Modified:04 Mar 2016 14:49

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