Célestin Kokonendji

Full Professor

Université de Franche-Comté

France

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About

Célestin Kokonendji is a Full Professor at Université Bourgogne Franche-Comté in France. His research areas encompass multivariate generalized linear models, probability density function estimation, and semiparametric modeling, as evidenced by his recent articles. He has contributed to topics such as Bayesian methods for adaptive bandwidth selection and various regression models tailored for count data.

Articles (9)

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2021

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2021

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Célestin Kokonendji

Research Interests

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About

Articles (9)

Multivariate generalized linear models for Markov kernels with (un)known link and variance functions

The Shifted-Exponential Variation Property for the Weibull and Log-Logistic Models

Coherent indexes for shifted count and semicontinuous models

Asymptotic results for recursive multivariate associated-kernel estimators of the probability density mass function of a data stream

Mean and Variance for Count Regression Models Based on Reparameterized Distributions

On Underdispersed Count Kernels for Smoothing Probability Mass Functions

Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d

Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics

Tweedie regression models and its geometric sums for (semi‐)continuous data

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