activity
20142019
most citedUniform-in-bandwidth consistency for nonparametric estimation of divergence measures

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2019

On Inference of Overlapping Coefficients in Two Inverse Lomax Populations

Hamza Dhaker, El Hadji Deme, Salah El-Adlouni

Overlapping coefficient is a direct measure of similarity between two distributions which is recently becoming very useful. This paper investigates estimation for some well-known m…

math.ST2019

Some improvement on non-parametric estimation of income distribution and poverty index

Youssou Ciss, El hadji Deme, Hamza Dhaker

In this paper, we propose an estimator of Foster, Greer and Thorbecke class of measures , where is the po…

stat.ME2019

-Divergence loss for the kernel density estimation with bias reduced

Hamza Dhakera, El Hadji Demeb, Youssou Cissb

Allthough nonparametric kernel density estimation with bias reduce is nowadays a standard technique in explorative data-analysis, there is still a big dispute on how to assess the…

stat.ME2017

Overlap Coefficients Based on Kullback-Leibler Divergence: Exponential Populations Case

Hamza Dhaker, Papa Ngom, Malick Mbodj

This article is devoted to the study of overlap measures of densities of two exponential populations. Various Overlapping Coefficients, namely: Matusita's measure , Morisita's m…

stat.ME2014★ 1 cited

Uniform-in-bandwidth consistency for nonparametric estimation of divergence measures

Papa Ngom, Hamza Dhaker, Pierre Mendy +1

We propose nonparametric estimation of divergence measures between continuous distributions. Our approach is based on a plug-in kernel- type estimators of density functions. We giv…

stat.ME2014

Comparaison between the two models : new approach using the -divergence

Hamza Dhaker, Papa Ngom, Pierre Mendy

We propose new nonparametric accordance Rényi- and -Tsallis divergence estimators for continuous distributions. We discuss this approach with a view to the selection model (o…