29 citations · 54 across the 6 of their papers we have counts for
7 papers
Model-assisted estimation of the finite population mean via local linear regression with associated kernels
Sobom M. Somé, Idrissa Dimzouré
In this paper, we propose a general regression-assisted estimator of the population mean based on local regression with associated kernels, a broad class that encompasses both clas…
An effective estimation of multivariate density functions using extended-beta kernels with Bayesian adaptive bandwidths
Sobom M. Somé, Célestin C. Kokonendji, Francial G. B. Libengué Dobélé-Kpoka
Multivariate kernel density estimations have received much spate of interest. In addition to conventional methods of (non-)classical associated-kernels for (un)bounded densities an…
Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
Youssef Esstafa, Célestin C. Kokonendji, Sobom M. Somé
Discrete kernel smoothing is now gaining importance in nonparametric statistics. In this paper, we investigate some asymptotic properties of the normalized discrete associated-kern…
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
Sobom M. Somé, Célestin C. Kokonendji, Smail Adjabi +2
A modified gamma kernel should not be automatically preferred to the standard gamma kernel, especially for univariate convex densities with a pole at the origin. In the multivariat…
Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics
Célestin C. Kokonendji, Sobom M. Somé
Multivariate nonnegative orthant data are real vectors bounded to the left by the null vector, and they can be continuous, discrete or mixed. We first review the recent relative va…
Effects of associated kernels in nonparametric multiple regressions
Sobom M. Somé, Célestin C. Kokonendji
Associated kernels have been introduced to improve the classical continuous kernels for smoothing any functional on several kinds of supports such as bounded continuous and discret…
On multivariate associated kernels for smoothing general density functions
Célestin C. Kokonendji, Sobom M. Somé
Multivariate associated kernel estimators, which depend on both target point and bandwidth matrix, are appropriate for partially or totally bounded distributions and generalize the…