14 papers
On estimation and prediction in a spatial semi-functional linear regression model
Stéphane Bouka, Kowir Pambo Bello, Guy Martial Nkiet
We tackle estimation and prediction at non-visted sites in a spatial semi-functional linear regression model with derivatives that combines a functional linear model with a nonpara…
An independence test for functional variables based on kernel normalized cross-covariance operator
Terence Kevin Manfoumbi Djonguet, Guy Martial Nkiet
We propose an independence test for random variables valued into metric spaces by using a test statistic obtained from appropriately centering and rescaling the squared Hilbert-Sch…
Wavelet-based estimation in a semiparametric regression model
Emmanuel de Dieu Nkou, Guy Martial Nkiet
In this paper, we introduce a wavelet-based method for estimating the EDR space in Li's semiparametric regression model for achieving dimension reduction. This method is obtained b…
Asymptotic normality of a generalized maximum mean discrepancy estimator
Armando Sosthene Kali Balogoun, Guy Martial Nkiet, Carlos Ogouyandjou
In this paper, we propose an estimator of the generalized maximum mean discrepancy between several distributions, constructed by modifying a naive estimator. Asymptotic normality i…
Robustifying multiple-set linear canonical analysis with S-estimator
Ulrich Djemby Bivigou, Guy Martial Nkiet
We consider a robust version of multiple-set linear canonical analysis obtained by using a S-estimator of covariance operator. The related influence functions are derived. Asymptot…
Dimension reduction in spatial regression with kernel SAVE method
Mètolidji Moquilas Raymond Affossogbe, Guy Martial Nkiet, Carlos Ogouyandjou
We consider the smoothed version of sliced average variance estimation (SAVE) dimension reduction method for dealing with spatially dependent data that are observations of a strong…