Work

On the Convergence of Recursive Kernel Density Estimators for Widely Orthant Dependent and Censored Data

Year: 2024

Type: article

Abstract: In this article, we establish the almost sure convergence of a family of recursive estimators when the data are censored checking widely orthant dependence (WOD). The dependence hypothesis gives this work a certain originality because most often, the study of censored data is done with an independence hypothesis and in reality the real data are often dependent.

Source: Far East Journal of Theoretical Statistics

DOI: 10.17654/0972086325002

Authors: Mouhamed Mar, Saliou DIOUF

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4404247763

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