Fractal Conditional Correlation Dimension Infers Complex Causal Networks

Determining causal inference has become popular in physical and engineering applications. While the problem has immense challenges, it provides a way to model the complex networks by observing the time series. In this paper, we present the optimal conditional correlation dimensional geometric inform...

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發表在:	Entropy
Main Authors:	Özge Canlı Usta, Erik M. Bollt
格式:	Article
語言:	英语
出版:	MDPI AG 2024-11-01
主題:	causal inference correlation dimension geometric information flow
在線閱讀:	https://www.mdpi.com/1099-4300/26/12/1030