40 citations · 96 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…
Prediction intervals for quantile autoregression
Silvia Novo, César Sánchez-Sellero
This paper introduces new methods for constructing prediction intervals using quantile-based techniques. The procedures are developed for both classical (homoscedastic) autoregress…
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…