Perturbing the structure in Gaussian Bayesian networks
Rosario Susi García, Hilario Navarro, Paloma Main Yaque, Miguel Angel Gómez Villegas · 2009
This paper introduces a n-way sensitivity analysis for Gaussian Bayesian networks where it studies the joint effect of variations in a set of similar parameters. The aim is to determine the sensitivity of the model when the parameters that describe the quantitative part are given by the structure of the graph. Therefore, with this analysis it studies the effect of uncertainty about the regression coefficients and the conditional variances of variables with their parents given in the graph.