Kernel-type estimators of divergence measures and its strong uniform consistency
Résumé
In this paper, we develop a kernel-type estimators of divergence measures for continuous distributions. We use the
method based on empirical process techniques for consistence kernel-type function estimators to show a general result
for the strong uniform consistency of our proposal divergence estimators
Domaines
Statistiques [math.ST]
Origine : Fichiers produits par l'(les) auteur(s)
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