2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Bias-Corrected Estimators for Joint Entropy, Conditional Entropy, and Mutual Information in the Discrete Bivariate Case: Theory and an Application to Motor Insurance
Amadou Diadie Ba
This paper studies the finite-sample bias of plug-in estimators for joint entropy, conditional entropy, and mutual information for finitely supported discrete random variables. Usi…
Finite-Sample Bias Correction for Plug-in Estimators of Extropy, Rényi Extropy, and Tsallis Extropy
Amadou Diadie Ba
This paper studies the finite-sample bias of plug-in estimators for Shannon, Rényi, and Tsallis extropies for finitely supported discrete random variables. We derive explicit first…
Entropies and their Asymptotic Theory in the discrete case
Amadou Diadie Ba, Gane Samb Lo
We present some new nonparametric estimators of entropies and we establish almost sure consistency and central limit Theorems for some of the most important entropies in the discre…
Divergence measures estimation and its asymptotic normality theory in the discrete case
Ba Amadou Diadie, Gane Samb Lo
In this paper we provide the asymptotic theory of the general of -divergences measures, which include the most common divergence measures : Renyi and Tsallis families and the Ku…