熵的统计基础
The Statistical Foundations of Entropy.
作者信息
Jizba Petr, Korbel Jan
机构信息
Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, 11519 Prague, Czech Republic.
Section for the Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
出版信息
Entropy (Basel). 2021 Oct 19;23(10):1367. doi: 10.3390/e23101367.
Abstract
During the last few decades, the notion of entropy has become omnipresent in many scientific disciplines, ranging from traditional applications in statistical physics and chemistry, information theory, and statistical estimation to more recent applications in biology, astrophysics, geology, financial markets, or social networks [...].
摘要
在过去几十年里，熵的概念在许多科学学科中无处不在，从统计物理和化学、信息论以及统计估计中的传统应用，到生物学、天体物理学、地质学、金融市场或社交网络等领域的最新应用[……]。
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