40 citations · 95 across the 5 of their papers we have counts for
5 papers
Variable selection in functional regression models: a review
Germán Aneiros, Silvia Novo, Philippe Vieu
Despite of various similar features, Functional Data Analysis and High-Dimensional Data Analysis are two major fields in Statistics that grew up recently almost independently one f…
Fast and efficient algorithms for sparse semiparametric bi-functional regression
Silvia Novo, Philippe Vieu, Germán Aneiros
A new sparse semiparametric model is proposed, which incorporates the influence of two functional random variables in a scalar response in a flexible and interpretable manner. One…
A NN procedure in semiparametric functional data analysis
Silvia Novo, Germán Aneiros, Philippe Vieu
A fast and flexible NN procedure is developed for dealing with a semiparametric functional regression model involving both partial-linear and single-index components. Rates of u…
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
Silvia Novo, Germán Aneiros, Philippe Vieu
This paper aims to front with dimensionality reduction in regression setting when the predictors are a mixture of functional variable and high-dimensional vector. A flexible model,…
Automatic and location-adaptive estimation in functional single-index regression
Silvia Novo, Germán Aneiros, Philippe Vieu
This paper develops a new automatic and location-adaptive procedure for estimating regression in a Functional Single-Index Model (FSIM). This procedure is based on -Nearest Neig…