3 papers
math.ST2025
Nonparametric estimation of sliced inverse regression by the -nearest neighbors kernel method
Luran Bengono Mintogo, Emmanuel de Dieu Nkou, Guy Martial Nkiet
We investigate nonparametric estimation of sliced inverse regression (SIR) via the -nearest neighbors approach with a kernel. An estimator of the covariance matrix of the condit…
math.ST2025
Asymptotic normality and strong consistency of kernel regression estimation in q-calculus
Emmanuel De Dieu Nkou, Fridolin Melong
We construct a family of estimators for a regression function based on a sample following a qdistribution. Our approach is nonparametric, using kernel methods built from operations…
math.ST2024
Stochastic approximation method for kernel sliced average variance estimation
Emmanuel De Dieu Nkou
In this paper, we use the stochastic approximation method to estimate Sliced Average Variance Estimation (SAVE). This method is known for its efficiency in recursive estimation. St…