Laura Nuñez
IE University
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Publication
Featured researches published by Laura Nuñez.
European Journal of Operational Research | 2009
Joaquín A. Pacheco; Silvia Casado; Laura Nuñez
A Tabu search method is proposed and analysed for selecting variables that are subsequently used in Logistic Regression Models. The aim is to find from among a set of m variables a smaller subset which enables the efficient classification of cases. Reducing dimensionality has some very well-known advantages that are summarized in literature. The specific problem consists in finding, for a small integer value of p, a subset of size p of the original set of variables that yields the greatest percentage of hits in Logistic Regression. The proposed Tabu search method performs a deep search in the solution space that alternates between a basic phase (that uses simple moves) and a diversification phase (to explore regions not previously visited). Testing shows that it obtains significantly better results than the Stepwise, Backward or Forward methods used by classic statistical packages. Some results of applying these methods are presented.
Computational Statistics & Data Analysis | 2006
Joaquín A. Pacheco; Silvia Casado; Laura Nuñez; Olga Gómez
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller subset which enables an efficient classification of cases. Reducing dimensionality has some advantages such as reducing the costs of data acquisition, better understanding of the final classification model, and an increase in the efficiency and efficacy of the model itself. The specific problem consists in finding, for a small integer value of p, the size p subset of original variables that yields the greatest percentage of hits in the discriminant analysis. To solve this problem a series of techniques based on metaheuristic strategies is proposed. After performing some test it is found that they obtain significantly better results than the stepwise, backward or forward methods used by classic statistical packages. The way these methods work is illustrated with several examples.
IFAC Proceedings Volumes | 2007
Enrique Doheijo; Gabriel Vladut; Virginia Matei; Camelia Cojocaru; Laura Nuñez; José Ramón López
Abstract e-Networks represent now an important and modern educational tools and solutions that bring together geographically distant research groups, allowing them to share data, documents, video and audio presentations, while integrating their computational and laboratory resources. The recent created EIFN Network, are implemented as a new generation communication service, not as a simply Worldwide Web application. So, they employ a sophisticated access framework, a communication infrastructure able to support multimedia flows and a component-based software construction. As the Internet is turning into a really multiservice network with a steady increase in bandwidth and decrease in response time, the environment becomes more suitable for implementations such as e-Network.
Energy Policy | 2012
Charles Donovan; Laura Nuñez
Ima Journal of Management Mathematics | 2007
Joaquín A. Pacheco; Silvia Casado; Laura Nuñez
Archive | 2004
Olga Gómez; Silvia Casado; Laura Nuñez; Joaquín A. Pacheco
Academy of Management Proceedings | 2013
Cristina Cruz; Laura Nuñez
Archive | 2004
Laura Nuñez
Computing in Economics and Finance | 2002
Laura Nuñez
Empirical Economics | 2018
Iván Contreras; J. Ignacio Hidalgo; Laura Nuñez