%0 Journal Article
%A Gómez Villegas, Miguel A.
%A Main Yaque, Paloma
%A Viviani, Paola
%T Sensitivity to evidence in Gaussian Bayesian networks using mutual information
%D 2014
%@ 0020-0255
%U https://hdl.handle.net/20.500.14352/33619
%X 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.
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