2 citations · 5 across the 18 of their papers we have counts for
5 papers · 2 filters
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…
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.…
Testing independence of functional variables by an Hilbert-Schmidt independence criterion estimator
Terence Kevin Manfoumbi Djonguet, Guy Martial Nkiet, Alban Mbina Mbina
We propose an estimator of the Hilbert-Schmidt Independence Criterion obtained from an appropriate modification of the usual estimator. We then get asymptotic normality of this est…