1 citations · 1 across the 6 of their papers we have counts for
6 papers
Rates of strong uniform consistency for the -nearest neighbors kernel estimators of density and regression function
Luran Bengono Mintogo, Emmanuel de Dieu Nkou, Guy Martial Nkiet
We adress the problem of consistency of the -nearest neighbors kernel estimators of the density and the regression function in the multivariate case. We get the rates of strong…
Testing for homogeneity of several functional variables via multiple maximum variance discrepancy
Armando Sosthène Kali Balogoun, Guy Martial Nkiet
This paper adresses the problem of testing for the equality of probability distributions on Hilbert spaces, with . We introduce a generalization of the maximum va…
A method for variable selection in a multivariate functional linear regression model
Alban Mina Mbina, Guy Martial Nkiet
We propose a new variable selection procedure for a functional linear model with multiple scalar responses and multiple functional predictors. This method is based on basis expansi…
Variable selection in multivariate regression model for spatially dependent data
Jean Roland Ebende Penda, Stéphane Bouka, Guy Martial Nkiet
This paper deals with variable selection in multivariate linear regression model when the data are observations on a spatial domain being a grid of sites in with $d\…
Kernel-based method for joint independence of functional variables
Terence Kevin Manfoumbi Djonguet, Guy Martial Nkiet
This work investigates the problem of testing whether functional random variables are jointly independent using a modified estimator of the -variable Hilbert Schmidt Indeped…
Asymptotic normality of an estimator of kernel-based conditional mean dependence measure
Terence Kevin Manfoumbi Djonguet, Guy Martial Nkiet
We propose an estimator of the kernel-based conditional mean dependence measure obtained from an appropriate modification of a naive estimator based on usual empirical estimators.…