Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Laura Nuñez is active.

Publication


Featured researches published by Laura Nuñez.


European Journal of Operational Research | 2009

A variable selection method based on Tabu search for logistic regression models

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

Analysis of new variable selection methods for discriminant analysis

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

INNOVATION – FINANCIAL NETWORK AND TRANSNATIONAL TECHNOLOGY TRANSFER IN ENERGY SECTOR

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

Figuring what’s fair: The cost of equity capital for renewable energy in emerging markets

Charles Donovan; Laura Nuñez


Ima Journal of Management Mathematics | 2007

Use of VNS and TS in classification: variable selection and determination of the linear discrimination function coefficients

Joaquín A. Pacheco; Silvia Casado; Laura Nuñez


Archive | 2004

THE PROBLEM OF VARIABLE SELECTION FOR FINANCIAL DISTRESS: APPLYING GRASP METAHEURISTICS

Olga Gómez; Silvia Casado; Laura Nuñez; Joaquín A. Pacheco


Academy of Management Proceedings | 2013

An Empirical Examination of Long Term Value Creation in European Listed Family Firms

Cristina Cruz; Laura Nuñez


Archive | 2004

Do Moving Average Rules Make Profits? A Study Using the Madrid Stock Market

Laura Nuñez


Computing in Economics and Finance | 2002

An analysis of the robustness of Genetic Algorithm (GA) methodology in the design of trading systems for the Stock Exchange

Laura Nuñez


Empirical Economics | 2018

Exploring the influence of industries and randomness in stock prices

Iván Contreras; J. Ignacio Hidalgo; Laura Nuñez

Collaboration


Dive into the Laura Nuñez's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Iván Contreras

Complutense University of Madrid

View shared research outputs
Top Co-Authors

Avatar

J. Ignacio Hidalgo

Complutense University of Madrid

View shared research outputs
Researchain Logo
Decentralizing Knowledge