research
∙
02/21/2022
Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
Discrete kernel smoothing is now gaining importance in nonparametric sta...
share
research
∙
02/18/2022
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
A modified gamma kernel should not be automatically preferred to the sta...
research
∙
01/20/2021
Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics
Multivariate nonnegative orthant data are real vectors bounded to the le...
research
∙
01/28/2020
Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models
In both Tweedie and geometric Tweedie models, the common power parameter...
research
∙
08/23/2019
On Poisson-exponential-Tweedie models for ultra-overdispersed data
We introduce a new class of Poisson-exponential-Tweedie (PET) mixture in...
research
∙
06/22/2019
