Now showing items 267-286 of 451

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      Net Children Go Mobile. Riesgos y oportunidades en internet y uso de dispositivos móviles entre menores españoles (2010-2015) 

      Garmendia Larrañaga, Maialen Sorkunde ORCID; Jiménez Iglesias, Estefanía ORCID; Casado del Río, Miguel Ángel ORCID; Mascheroni, Giovanna (Red.es / Universidad del País Vasco/Euskal Herriko Unibertsitatea, 2016)
      ...
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      Network formation under institutional constraints 

      Olaizola Ortega, María Norma ORCID; Valenciano Llovera, Federico ORCID (2011-05)
      We study the effects of institutional constraints on stability, efficiency and network formation. An exogenous "societal cover" consisting of a collection of possibly overlapping subsets covering the set of players specifies ...
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      Neutral candidates in approval and disapproval vote 

      González, Stéphane; Laruelle, Annick ORCID; Solal, Philippe (Fundamentos del Análisis Económico I, UPV/EHU, 2017-11-24)
      In this article, the question is to select the “best” candidates within a set of candidates when voters cast approval-disapproval ternary ballots. That is, three options are offered to voters: casting a vote “in favor”, a ...
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      New Keynesian Model Features that Can Reproduce Lead, Lag and Persistence Patterns 

      Cassou, Steven P.; Vázquez Pérez, Jesús ORCID (University of the Basque Country, Department of Foundations of Economic Analysis II, 2010-04)
      This paper uses a new method for describing dynamic comovement and persistence in economic time series which builds on the contemporaneous forecast error method developed in den Haan (2000). This data description method ...
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      New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination 

      Santana Hermida, Roberto ORCID; Mendiburu Alberro, Alexander; Lozano Alonso, José Antonio (2012-12-27)
      Methods for generating a new population are a fundamental component of estimation of distribution algorithms (EDAs). They serve to transfer the information contained in the probabilistic model to the new generated population. ...
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      Non-Stationary Demand in a Durable Goods Monopoly 

      Usategui Díaz de Otalora, José María ORCID (University of the Basque Country, Department of Foundations of Economic Analysis II, 2006-01)
      In a context where demand for the services of a durable good changes over time, and this change may be uncertain, the paper shows that social welfare may be higher when the monopolist seller can commit to any future price ...
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      Nonparametric estimation betas in the Market Model 

      Esteban González, María Victoria ORCID; Orbe Mandaluniz, Susan (2006)
      In this study an alternative nonparametric estimator to the Fama and MacBeth approach for the CAPM estimation is proposed. Betas and risk premiums are estimated simultaneously in order to increase the explanatory power of ...
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      Nonparametric estimation of time varying parameters under shape restrictions 

      Orbe Mandaluniz, Susan; Ferreira García, María Eva ORCID; Rodríguez Poo, Juan M. (2001-01)
      In this paper we propose a new method to estimate nonparametrically a time varying parameter model when some qualitative information from outside data (e.g. seasonality) is available. In this framework we make two main ...
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      Numerical Distribution Functions for Seasonal Unit Root Tests 

      Díaz-Emparanza Herrero, Ignacio ORCID (2011-12)
      When working with time series data observed at intervals smaller than a year, it is often necessary to test for the presence of seasonal unit roots. One of the most widely used methods for testing seasonal unit roots is ...
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      Obtaining teaching expertise from F2F learning interactions 

      Ruiz, Samara; Urretavizcaya, Maite; Fernández de Castro, Isabel ORCID (2012)
      Learning environments are commonly used nowadays, but they exclude face-to-face interaction among teachers and students what is a successful basis of traditional education. On the other hand, in many cases teachers are ...
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      On demand translation for querying incompletely aligned datasets 

      Torre-Bastida, Ana I.; Bermúdez de Andrés, Jesús ORCID; Illarramendi Echave, María Aránzazu ORCID; González, Marta (2014-12-01)
      More and more users aim at taking advantage of the existing Linked Open Data environment to formulate a query over a dataset and to then try to process the same query over different datasets, one after another, in order ...
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      On downloading and using COIN-OR for solving linear/integer optimization problems 

      Pérez Sainz de Rozas, Gloria ORCID; Garín Martín, María Araceli ORCID (2010)
      The aim of this technical report is to present some detailed explanations in order to help to use the open source software for optimization COIN-OR. In particular, we describe how to download, install and use the corresponding ...
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      On Downloading and Using CPLEX within COIN-OR for Solving Linear/Integer Optimization Problems 

      Pérez Sainz de Rozas, Gloria ORCID; Garín Martín, María Araceli ORCID (2011-11)
      The aim of this technical report is to present some detailed explanations in order to use the solver CPLEX within COIN-OR environment. In particular, we describe how to download, install and use the corresponding source ...
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      On monotonic core allocations for coalitional games whith veto players 

      Arin Aguirre, Francisco Javier; Feltkamp, Vincent (2007-10)
      We characterize a monotonic core concept defined on the class of veto balanced games. We also discuss what restricted versions of monotonicity are possible when selecting core allocations. We introduce a family of monotonic ...
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      On solving two stage stochastic linear problems by using a new approach, Cluster Benders Decomposition 

      Aranburu Laka, Larraitz; Escudero Bueno, Laureano F.; Garín Martín, María Araceli ORCID; Pérez Sainz de Rozas, Gloria ORCID (2010-11)
      The optimization of stochastic linear problems, via scenario analysis, based on Benders decomposition requires to appending feasibility and/or optimality cuts to the master problem until the iterative procedure reaches the ...
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      On the application of estimation of distribution algorithms to multi-marker tagging SNP selection 

      Santana Hermida, Roberto ORCID; Mendiburu Alberro, Alexander; Zaitlen, Noah; Eskin, Eleazar; Lozano Alonso, José Antonio (2009)
      This paper presents an algorithm for the automatic selection of a minimal subset of tagging single nucleotide polymorphisms (SNPs) using an estimation of distribution algorithm (EDA). The EDA stochastically searches the ...
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      On the Benefits of Including Age-structure in Harvest Control Rules 

      Da Rocha, José María; Mato Amboage, Rosa (2014-08-27)
      This paper explores the benefits of including age-structure in the control rule (HCR) when decision makers regard their (age-structured) models as approximations. We find that introducing age structure into the HCR reduces ...
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      On the economics of the "meeting competition defense" under the Robinson-Patman Act 

      Aguirre Pérez, Iñaki ORCID (Departamento de Fundamentos del Análisis Económico I, UPV/EHU, 2015-02-19)
      In this paper we analyze the welfare effects of third-degree price discrimination when competitive pressure varies across markets. In particular, we study the economic aspects of the Robinson-Patman Act associated with the ...
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      On the Informational Role of Term Structure in the U.S. Monetary Policy Rule 

      Vázquez Pérez, Jesús ORCID; María-Dolores, Ramón; Londoño Yarce, Juan Miguel (University of the Basque Country, Department of Foundations of Economic Analysis II, 2010-01)
      This paper uses a structural approach based on the indirect inference principle to estimate a standard version of the new Keynesian monetary (NKM) model augmented with term structure using both revised and real-time data. ...
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      On the optimal usage of labelled examples in semi-supervised multi-class classification problems 

      Ortigosa Hernández, Jonathan; Inza Cano, Iñaki ORCID; Lozano Alonso, José Antonio (2015-04-23)
      In recent years, the performance of semi-supervised learning has been theoretically investigated. However, most of this theoretical development has focussed on binary classification problems. In this paper, we take it a ...