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The multivariate exponential power family is considered for n-dimensional random variables, Z, with a known partition Z equivalent to (Y, X) of dimensions p and n - p, respectively, with interest focusing on the conditional distribution Y vertic[...]texto impreso
Gamez-Pozo, A. ; Trilla-Fuentes, L. ; Berges-Soria, J. ; Selevsek, N. ; López-Vacas, R. ; Díaz-Almiron, M. ; Nanni,, P. ; Arevalillo, J. M. ; Navarro, H. ; Grossmann, J. ; Moreno, F. G. ; Rioja, R. G. ; Prado-Vazquez, G. ; Zapater-Moros, A. ; Main Yaque, Paloma ; Feliu, J. ; del Prado, P. ; Zamora, P. ; Ciruelos, E. ; Espinosa, E. ; Vara, J. A.F. | Nature Publishing Group | 2017Breast cancer is a heterogeneous disease comprising a variety of entities with various genetic backgrounds. Estrogen receptor-positive, human epidermal growth factor receptor 2-negative tumors typically have a favorable outcome; however, some pa[...]texto impreso
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 desc[...]texto impreso
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[...]texto impreso
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[...]
