• 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 ...

• A Task Planning Problem in a Home Care Business 

  Méndez Fernandez, Isabel; García Jurado, Ignacio; Lorenzo Freire, Silvia María; Costa Bouzas, Julián (M D P I AG, 2018-09-19)

  [Abstract] This work focuses on the study of a task planning problem in a home care business. The objective is to schedule the working days of the available nurses, in order to assist all the active clients. Due to the ...

• Sparse Semi-Functional Partial Linear Single-Index Regression 

  Novo Díaz, Silvia; Aneiros Pérez, Germán; Vieu, Philippe (M D P I AG, 2018-09-17)

  [Abstract] The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure ...

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