论文标题
有条件的香农，Réyni和Tsallis熵估计和渐近限制：离散案例
Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case
论文作者
论文摘要
描述了一种估计一对离散随机变量的关节概率质量函数的方法。该估计器用于构建条件的Shannon-Réyni-Tsallis熵估计。从那里建立了几乎确定的收敛速度和渐近正态性。理论结果通过模拟验证。
A method of estimating the joint probability mass function of a pair of discrete random variables is described. This estimator is used to construct the conditional Shannon-Réyni-Tsallis entropies estimates. From there almost sure rates of convergence and asymptotic normality are established. The theorical results are validated by simulations.
