Perfil del autor: Sillero Denamiel, María Remedios
Datos institucionales
| Nombre | Sillero Denamiel, María Remedios |
| Departamento | Estadística e Investigación Operativa |
| Área de conocimiento | Estadística e Investigación Operativa |
| Categoría profesional | Profesora Ayudante Doctora |
| Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
8
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Nº visitas
883
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Nº descargas
1216
| Publicaciones |
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Artículo
 The tree based linear regression model for hierarchical categorical variables
(Elsevier, 2022)
Many real-life applications consider nominal categorical predictor variables that have a hierarchical structure, e.g. ... |
Artículo
Constrained Naïve Bayes with application to unbalanced data classification
(Springer, 2021)
The Naïve Bayes is a tractable and efficient approach for statistical classification. In general classification problems, ... |
Tesis Doctoral
Computational Methods for the Analysis of Complex Data
(2021)
This PhD dissertation bridges the disciplines of Operations Research and Statistics to develop novel computational methods ... |
Artículo
Variable selection for Naïve Bayes classification
(Pergamon-Elsevier Science Ltd., 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Artículo
Variable selection for Naïve Bayes classification
(Elsevier, 2021)
The Naïve Bayes has proven to be a tractable and efficient method for classification in multivariate analysis. However, ... |
Artículo
A cost-sensitive constrained Lasso
(Springer, 2020)
The Lasso has become a benchmark data analysis procedure, and numerous variants have been proposed in the literature. ... |
Artículo
On Extreme Concentrations in Chemical Reaction Networks with Incomplete Measurements
(ACS, 2016)
A fundamental problem in the analysis of chemical reactions networks consists of identifying concentration values along ... |
| Trabajo Fin de Máster |