非线性因果效应分析中的因果域

王爱国; 刘礼; 杨矫云; 李廉

doi:10.1631/FITEE.2200165

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非线性因果效应分析中的因果域

常规文章 | Updated：2022-09-08

- 非线性因果效应分析中的因果域
- Causality fields in nonlinear causal effect analysis
- 信息与电子工程前沿(英文版) 2022年23卷第8期页码：1277-1286
- Affiliations：
  
  1.School of Electronic Information Engineering, Foshan University, Foshan528225, China
  2.School of Big Data & Software Engineering, Chongqing University, Chongqing400044, China
  3.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei230009, China
- Author bio：
  
  wangaiguo2546@163.com
  ‡Corresponding authors
  llian@hfut.edu.cn
- Funds：
  
  the National Major Science and Technology Projects of China(2018AAA0100703);the National Natural Science Foundation of China(61977012);the China Scholarship Council(201906995003);the Fundamental Research Funds for the Central Universities, China(2021CDJYGRH011)
- DOI：10.1631/FITEE.2200165
  中图分类号：
- 收稿：2022-04-21，
  
  修回：2022-05-05，
  
  纸质出版：2022-08-23
- Accepted：
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王爱国, 刘礼, 杨矫云, 等. 非线性因果效应分析中的因果域[J]. 信息与电子工程前沿(英文版), 2022,23(8):1277-1286.

Aiguo WANG, Li LIU, Jiaoyun YANG, et al. Causality fields in nonlinear causal effect analysis[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(8): 1277-1286.
王爱国, 刘礼, 杨矫云, 等. 非线性因果效应分析中的因果域[J]. 信息与电子工程前沿(英文版), 2022,23(8):1277-1286. DOI： 10.1631/FITEE.2200165.

Aiguo WANG, Li LIU, Jiaoyun YANG, et al. Causality fields in nonlinear causal effect analysis[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(8): 1277-1286. DOI： 10.1631/FITEE.2200165.

摘要

与线性因果相比，非线性因果具有更复杂的特点和内涵。本文主要讨论非线性因果中的若干个问题，并着重强调因果域的概念。本文基于广泛应用的计算模型和方法，围绕非线性因果分析与计算以及因果域的识别问题提出相应观点和建议，并通过几个具体案例揭示非线性因果在处理复杂因果推断问题中的重要性和现实意义。

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references

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