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On-line Access: 2022-08-22

Received: 2022-04-21

Revision Accepted: 2022-05-05

Crosschecked: 2022-08-29

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Aiguo WANG




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Frontiers of Information Technology & Electronic Engineering 

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Causality fields in nonlinear causal effect analysis

Author(s):  Aiguo WANG, Li LIU, Jiaoyun YANG, Lian LI

Affiliation(s):  School of Electronic Information Engineering, Foshan University, Foshan 528225, China; more

Corresponding email(s):  dcsliuli@cqu.edu.cn, jiaoyun@hfut.edu.cn, wangaiguo2546@163.com, llian@hfut.edu.cn

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Aiguo WANG, Li LIU, Jiaoyun YANG, Lian LI. Causality fields in nonlinear causal effect analysis[J]. Frontiers of Information Technology & Electronic Engineering , 2022, 23(12): 1277-1286.

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Compared with linear causality, nonlinear causality has more complex characteristics and content. In this paper, we discuss certain issues related to nonlinear causality with an emphasis on the concept of causality field. Based on widely used computation models and methods, we present some viewpoints and opinions on the analysis and computation of nonlinear causality and the identification problem of causality fields. We also reveal the importance and practical significance of nonlinear causality in handling complex causal inference problems via several specific examples.




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