Year: 2024
Type: article
Abstract: In this paper, we establish the asymptotic normality of the kernel estimator for negatively dependent random variables. The kernel estimator has been widely applied for independent data. However, in practice, the data are most often dependent.
Authors: Aminata GNING, Mouhamed Mar, Saliou DIOUF
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4403497730