Inaccurate parameters in Gaussian Bayesian networks

To determine the effect of a set of inaccurate parameters in Gaussian Bayesian networks, it is necessary to study the sensitive of the model. With this aim we propose a sensitivity analysis based on comparing two differents models: the original model with the initial parameters assigned to the Gauss...

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Detalles Bibliográficos
Autores: Gómez Villegas, Miguel Ángel, Main Yaque, Paloma, Susi García, María Del Rosario
Tipo de recurso: informe técnico
Fecha de publicación:2008
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/56704
Acceso en línea:https://hdl.handle.net/20.500.14352/56704
Access Level:acceso abierto
Palabra clave:Investigación operativa (Estadística)
1207 Investigación Operativa
Descripción
Sumario:To determine the effect of a set of inaccurate parameters in Gaussian Bayesian networks, it is necessary to study the sensitive of the model. With this aim we propose a sensitivity analysis based on comparing two differents models: the original model with the initial parameters assigned to the Gaussian Bayesian network and the perturbed model obtain afther perturbing a ser of inaccurate parameters with specific characteristics.