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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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https://hal.inria.fr/hal-01207481
Contributor : El Hadji Deme <>
Submitted on : Thursday, October 1, 2015 - 2:26:52 PM
Last modification on : Monday, September 24, 2018 - 5:28:02 PM
Long-term archiving on: : Saturday, January 2, 2016 - 10:22:43 AM

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  • HAL Id : hal-01207481, version 1

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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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