Perturbing the structure in Gaussian Bayesian networks

Autor: Susi García, Rosario, Navarro, H., Main Yaque, Paloma, Gómez Villegas, Miguel Á.
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: E-Prints Complutense. Archivo Institucional de la UCM
instname
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Popis: 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.
Databáze: OpenAIRE