Entropies and their Asymptotic Theory in the discrete case

Abstract

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 discrete case. Our theorical results are validated by simulations.

18 pages, 4 figures

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• Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data
• Multiple Source Adaptation and the Renyi Divergence
• Entropy-Based Financial Asset Pricing

Cited by in corpus (1)

• Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case