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George Manis, Dimitrios Bakalis and Roberto Sassi
Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. How...
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Xiaobi Chen, Guanghua Xu, Sicong Zhang, Xun Zhang and Zhicheng Teng
The complex network nature of human brains has led an increasing number of researchers to adopt a complex network to assess the cognitive load. The method of constructing complex networks has a direct impact on assessment results. During the process of u...
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Imen Mahmoud,kamel Naoui,Hatem Jemmali
Pág. 683 - 693
The purpose of this article is to provide a survey of the presence of speculative bubbles. The empirical study uses a new technique borrowed from statistical physics suggested by Pincus (1991). We use approximate entropy to test the presence of bubbles i...
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