• Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings 

  Eiras-Franco, Carlos; Flores, Miguel; Bolón-Canedo, Verónica; Zaragoza, Sonia; Fernández-Casal, Rubén; Naya, Salvador; Tarrío-Saavedra, Javier (2019)

  [Abstract] The aim of this work is to propose different statistical and machine learning methodologies for identifying anomalies and control the quality of energy efficiency and hygrothermal comfort in buildings. ...

• A Doubly Smoothed PD Estimator in Credit Risk 

  Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI AG, 2020-09-01)

  [Abstract] In this work a doubly smoothed probability of default (PD) estimator is proposed based on a smoothed version of the survival Beran’s estimator. The asymptotic properties of both the smoothed survival and PD ...

• Bandwidth Selection for Prediction in Regression 

  Barbeito, Inés; Cao, Ricardo; Sperlich, Stefan (M D P I AG, 2019-08-05)

  [Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then ...

• Nonparametric Regression Estimation for Circular Data 

  Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras, Rosa M.; Panzera, Agnese (M D P I AG, 2019-07-31)

  [Abstract] Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate ...

• Fast Algorithm for Impact Point Selection in Semiparametric Functional Models 

  Novo Díaz, Silvia; Aneiros Pérez, Germán; Vieu, Philippe (M D P I AG, 2019-07-31)

  [Abstract] A new sparse semiparametric functional model is proposed, which tries to incorporate the influence of two functional variables in a scalar response in a quite simple and interpretable way. One of the functional ...

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