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Preprints, Working Papers, ... Year : 2015

Kernel-type estimators of divergence measures and its strong uniform consistency

Abstract

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
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Dates and versions

hal-01207481 , version 1 (01-10-2015)

Identifiers

  • HAL Id : hal-01207481 , version 1

Cite

Hamza Dhaker, Papa Ngom, El Hadji Deme, Pierre Mendy. Kernel-type estimators of divergence measures and its strong uniform consistency. 2015. ⟨hal-01207481⟩
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