Sensitivity Analysis in Gaussian Bayesian Networks Using a Divergence Measure

DOI10.1080/03610920600853282zbMath1109.62023OpenAlexW2076197278MaRDI QIDQ3435999

Rosario Susi, Paloma Maín, Miguel Angel Gómez-Villegas

Publication date: 8 May 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://eprints.ucm.es/id/eprint/14566/1/2007sens2.pdf

zbMATH Keywords

sensitivity analysisKullback-Leibler divergenceGaussian Bayesian network

Mathematics Subject Classification ID

Multivariate analysis (62H99) Parametric hypothesis testing (62F03) Bayesian inference (62F15) Statistical aspects of information-theoretic topics (62B10)

Related Items (8)

Model Uncertainty and Correctability for Directed Graphical Models ⋮ Unnamed Item ⋮ A novel divergence for sensitivity analysis in Gaussian Bayesian networks ⋮ Sensitivity to hyperprior parameters in Gaussian Bayesian networks ⋮ Extreme inaccuracies in Gaussian Bayesian networks ⋮ Sensitivity to evidence in Gaussian Bayesian networks using mutual information ⋮ Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions ⋮ Sensitivity analysis in multilinear probabilistic models

Cites Work

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• A distance measure for bounding probabilistic belief change
• Sensitivity analysis: an aid for belief-network quantification
• Probabilistic Networks and Expert Systems
• On Information and Sufficiency

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