5 papers
Spatial Functional -Nearest-Neighbour Regression under Polynomial Dependence
Stéphane Bouka
This paper investigates non-parametric regression estimation when the explanatory variable takes values in a separable Hilbert space and observations are sampled over an increasing…
Testing for point-impact effects in a spatial semi-functional linear regression model
Stéphane Bouka, Emmanuel De Dieu Nkou, Alban Mbina Mbina +1
This paper introduces a novel semiparametric testing framework for localized point-impact effects within a spatial semi-functional linear regression model. We address an intricate…
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\…
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…
On estimation and prediction in spatial functional linear regression model
Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet
We consider a spatial functional linear regression, where a scalar response is related to a square integrable spatial functional process. We use a smoothing spline estimator for th…