3 papers
stat.ME2021
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…
stat.ME2020
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…
stat.ME2019
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…