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Causality fields in nonlinear causal effect analysis
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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, 1998, -1(-1): .
@article{title="Causality fields in nonlinear causal effect analysis",
author="Aiguo WANG, Li LIU, Jiaoyun YANG, Lian LI",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200165"
}
%0 Journal Article
%T Causality fields in nonlinear causal effect analysis
%A Aiguo WANG
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%J Journal of Zhejiang University SCIENCE C
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200165
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T1 - Causality fields in nonlinear causal effect analysis
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VL - -1
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%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200165
Abstract: Compared with linear causality, nonlinear causality has more complex characteristics and content. This paper discusses certain issues related to nonlinear causality with an emphasis on the concept of causality field. Based on widely used computation models and methods, some viewpoints and opinions are presented on the analysis and computation of nonlinear causality and the identification problem of causality fields. Besides, via several specific examples, this paper reveals the importance and practical significance of nonlinear causality in handling complex causal inference problems.
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