research
∙
05/22/2023
Variable selection in multivariate regression model for spatially dependent data
This paper deals with variable selection in multivariate linear regressi...
share
research
∙
11/19/2022
On estimation and prediction in a spatial semi-functional linear regression model
We tackle estimation and prediction at non-visted sites in a spatial sem...
research
∙
11/10/2022
An independence test for functional variables based on kernel normalized cross-covariance operator
We propose an independence test for random variables valued into metric ...
research
∙
08/14/2022
Kernel-based method for joint independence of functional variables
This work investigates the problem of testing whether d functional rando...
research
∙
07/26/2022
Asymptotic normality of an estimator of kernel-based conditional mean dependence measure
We propose an estimator of the kernel-based conditional mean dependence ...
research
∙
06/23/2022
Testing independence of functional variables by an Hilbert-Schmidt independence criterion estimator
We propose an estimator of the Hilbert-Schmidt Independence Criterion ob...
research
∙
04/29/2020
Wavelet-based estimation in a semiparametric regression model
In this paper, we introduce a wavelet-based method for estimating the ED...
research
∙
03/12/2020
Asymptotic normality of a generalized maximum mean discrepancy estimator
In this paper, we propose an estimator of the generalized maximum mean d...
research
∙
10/19/2019
Robustifying multiple-set linear canonical analysis with S-estimator
We consider a robust version of multiple-set linear canonical analysis o...
research
∙
09/22/2019
Dimension reduction in spatial regression with kernel SAVE method
We consider the smoothed version of sliced average variance estimation (...
research
∙
08/03/2019
On estimation and prediction in spatial functional linear regression model
We consider a spatial functional linear regression, where a scalar respo...
research
∙
11/30/2018
Kernel based method for the k-sample problem
In this paper we deal with the problem of testing for the equality of k ...
research
∙
11/22/2018
k-Sample problem based on generalized maximum mean discrepancy
In this paper we deal with the problem of testing for the quality of k p...
research
∙
11/21/2018
Smoothed functional average variance estimation for dimension reduction
We propose an estimation method that we call functional average variance...
research
∙
11/06/2018
Robust multiple-set linear canonical analysis based on minimum covariance determinant estimator
By deriving influence functions related to multiple-set linear canonical...
research
∙
11/06/2018
