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Autor Main Yaque, Paloma |
Documentos disponibles escritos por este autor (21)
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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. How[...]![]()
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Gómez Villegas, Miguel A. ; Main Yaque, Paloma ; Navarro, H. ; Susi García, Rosario | 2010-06-01Our focus is on learning Gaussian Bayesian networks (GBNs) from data. In GBNs the multivariate normal joint distribution can be alternatively specified by the normal regression models of each variable given its parents in the DAG (directed acycl[...]![]()
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Bayesian networks (BNs) have become an essential tool for reasoning under uncertainty in complex models. In particular, the subclass of Gaussian Bayesian networks (GBNs) can be used to model continuous variables with Gaussian distributions. Here[...]![]()
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La Simulación de Sucesos Discretos (SSD)es una metodología que permite aplicar los procedimientos de simulación estocástica, para representar un sistema en el que las variables aleatorias que lo componen están relacionadas entre si. En esta mono[...]![]()
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In the problem of testing the point null hypothesis H-0: theta = theta(0) versus H-1: theta not equal theta(0), with a previously given prior density for the parameter theta, we propose the following methodology: to fix an interval of radius eps[...]![]()
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Gómez Villegas, Miguel A. ; Main Yaque, Paloma ; Susi García, Rosario | Elsevier Science INC | 2013-02n this work we study the effects of model inaccuracies on the description of a Gaussian Bayesian network with a set of variables of interest and a set of evidential variables. Using the Kullback-Leibler divergence measure, we compare the output [...]