2 citations · 2 across the 2 of their papers we have counts for
4 papers
On functional logistic regression: some conceptual issues
Beatriz Bueno-Larraz, José R. Berrendero, Antonio Cuevas
The main ideas behind the classical multivariate logistic regression model make sense when translated to the functional setting, where the explanatory variable is a function an…
On Mahalanobis distance in functional settings
José R. Berrendero, Beatriz Bueno-Larraz, Antonio Cuevas
Mahalanobis distance is a classical tool in multivariate analysis. We suggest here an extension of this concept to the case of functional data. More precisely, the proposed definit…
Variable selection for the prediction of C[0,1]-valued AR processes using RKHS
Beatriz Bueno-Larraz, Johannes Klepsch
A model for the prediction of functional time series is introduced, where observations are assumed to be continuous random functions. We model the dependence of the data with a non…
An RKHS model for variable selection in functional regression
José R. Berrendero, Beatriz Bueno-Larraz, Antonio Cuevas
A mathematical model for variable selection in functional regression models with scalar response is proposed. By "variable selection" we mean a procedure to replace the whole traje…