Nonparametric regression methods have been widely studied in functional regression analysis in the context of functional covariates and univariate response, but it is not the case for functional covariates with multivariate response. In this paper, we present two new solutions for the latter problem: the first is to directly extend the nonparametric method for univariate response to multivariate response, and in the second, the correlation among different responses is incorporated into the model. The asymptotic properties of the estimators are studied, and the effectiveness of the proposed methods is demonstrated through several simulation studies and a real data example
International audienceWe study regression estimation when the explanatory variable is functional. No...
AbstractThe aim of this work is to introduce a new nonparametric regression technique in the context...
In this article, we propose a generalized Gaussian process concurrent regression model for functiona...
Nonparametric functional regression is of considerable importance due to its impact on the developme...
International audienceIn this paper we present a nonparametric method for extending functional regre...
In this paper we present a nonparametric method for extending functional regression methodology to t...
Gaussian process regression (GPR) has been shown to be a powerful and effective nonparametric method...
This paper proposed a new method to study functional non-parametric regression data analysis with c...
We consider a nonparametric regression model where the response Y and the covariate X are both funct...
AbstractWe consider a nonparametric regression model where the response Y and the covariate X are bo...
Multivariate data arise frequently in biomedical and health studies where multiple response variable...
In this paper, the scale response functional multivariate regression model is considered. By using t...
International audienceWe consider the problem of predicting a real random variable from a functional...
Functional responses are encountered when units are observed over time. Although the whole function ...
In this paper we propose a general class of covariate-adjusted response-adaptive (CARA) designs base...
International audienceWe study regression estimation when the explanatory variable is functional. No...
AbstractThe aim of this work is to introduce a new nonparametric regression technique in the context...
In this article, we propose a generalized Gaussian process concurrent regression model for functiona...
Nonparametric functional regression is of considerable importance due to its impact on the developme...
International audienceIn this paper we present a nonparametric method for extending functional regre...
In this paper we present a nonparametric method for extending functional regression methodology to t...
Gaussian process regression (GPR) has been shown to be a powerful and effective nonparametric method...
This paper proposed a new method to study functional non-parametric regression data analysis with c...
We consider a nonparametric regression model where the response Y and the covariate X are both funct...
AbstractWe consider a nonparametric regression model where the response Y and the covariate X are bo...
Multivariate data arise frequently in biomedical and health studies where multiple response variable...
In this paper, the scale response functional multivariate regression model is considered. By using t...
International audienceWe consider the problem of predicting a real random variable from a functional...
Functional responses are encountered when units are observed over time. Although the whole function ...
In this paper we propose a general class of covariate-adjusted response-adaptive (CARA) designs base...
International audienceWe study regression estimation when the explanatory variable is functional. No...
AbstractThe aim of this work is to introduce a new nonparametric regression technique in the context...
In this article, we propose a generalized Gaussian process concurrent regression model for functiona...