81 citations · 138 across the 11 of their papers we have counts for
11 papers
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…
Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models
Rahma Abid, Célestin C. Kokonendji
In both Tweedie and geometric Tweedie models, the common power parameter works as an automatic distribution selection. It mainly separates two subclasses of semicont…
On Poisson-exponential-Tweedie models for ultra-overdispersed data
Rahma Abid, Celestin C. Kokonendji, Afif Masmoudi
We introduce a new class of Poisson-exponential-Tweedie (PET) mixture in the framework of generalized linear models for ultra-overdispersed count data. The mean-variance relationsh…
Flexible Tweedie regression models for continuous data
Wagner H. Bonat, Célestin C. Kokonendji
Tweedie regression models provide a flexible family of distributions to deal with non-negative highly right-skewed data as well as symmetric and heavy tailed data and can handle co…
Extended Poisson-Tweedie: properties and regression models for count data
Wagner H. Bonat, Bent Jørgensen, Célestin C. Kokonendji +2
We propose a new class of discrete generalized linear models based on the class of Poisson-Tweedie factorial dispersion models with variance of the form , where is the…
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…
Discrete Dispersion Models and Their Tweedie Asymptotics
Bent Jørgensen, Célestin C. Kokonendji
We introduce a class of two-parameter discrete dispersion models, obtained by combining convolution with a factorial tilting operation, similar to exponential dispersion models whi…