论文标题
关于最大熵的历史观点
A historical view on the maximum entropy
论文作者
论文摘要
在许多研究中，如何查找未知分布。有几种方法可以弄清楚它们，但是主要的问题是哪些行为比其他行为更合理。在本文中，我们将重点放在最大熵原理上，作为发现未知分布的合适方法，该方法基于可用数据集建议了一些先前的信息。我们通过审查一些论文来解释其特征。此外，我们建议一些文章围绕广义最大熵问题进行研究，当存在自相关数据时，这更合适。然后，我们列出了最大熵的有益特征。最后，熵的某些缺点表明是对最大熵原则的完整观察，我们将其缺点列为最后一步。
How to find unknown distributions is questioned in many pieces of research. There are several ways to figure them out, but the main question is which acts more reasonably than others. In this paper, we focus on the maximum entropy principle as a suitable method of discovering the unknown distribution, which recommends some prior information based on the available data set. We explain its features by reviewing some papers. Furthermore, we recommend some articles to study around the generalized maximum entropy issue, which is more suitable when autocorrelation data exists. Then, we list the beneficial features of the maximum entropy as a result. Finally, some disadvantages of entropy are expressed to have a complete look at the maximum entropy principle, and we list its drawbacks as the final step.
