论文标题
信息分布的信息差异的界限
Bounds on the Information Divergence for Hypergeometric Distributions
论文作者
论文摘要
超几何分布有许多重要的应用，但是在信息理论中没有足够的关注。可以通过二项式分布或泊松分布来近似高几何分布。在本文中，我们介绍了信息差异的上限和下限。这些界限对于统计测试和更好地理解了交换性的概念很重要。
The hypergeometric distributions have many important applications, but they have not had sufficient attention in information theory. Hypergeometric distributions can be approximated by binomial distributions or Poisson distributions. In this paper we present upper and lower bounds on information divergence. These bounds are important for statistical testing and a better understanding of the notion of exchange-ability.
