40 citations · 98 across the 9 of their papers we have counts for
9 papers
kNN estimation in semi-functional partial linear regression with missing responses at random
Germán Aneiros, Silvia Novo
This paper considers a partial linear regression model with scalar response missing at random, one finite-dimensional covariate (a vector, ) and one infinite-dimensional covaria…
fsemipar: an R package for SoF semiparametric regression
Silvia Novo, Germán Aneiros
Functional data analysis has become a tool of interest in applied areas such as economics, medicine, and chemistry. Among the techniques developed in recent literature, functional…
Semi-functional partial linear regression with measurement error: An approach based on NN estimation
Silvia Novo, Germán Aneiros, Philippe Vieu
This paper focuses on a semiparametric regression model in which the response variable is explained by the sum of two components. One of them is parametric (linear), the correspond…
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…
Bootstrap prediction regions for daily curves of electricity demand and price using functional data
Rebeca Peláez, Germán Aneiros, Juan Vilar
The aim of this paper is to compute one-day-ahead prediction regions for daily curves of electricity demand and price. Three model-based procedures to construct general prediction…