OpenAlex | SELF: Structural Equational Likelihood Framework for Causal Discovery

SELF: Structural Equational Likelihood Framework for Causal Discovery

Work

Year: 2018

Type: article

Abstract: Causal discovery without intervention is well recognized as a challenging yet powerful data analysis tool, boosting the development of other scientific areas, such as biology, astronomy, and social sc... more

Source: Proceedings of the AAAI Conference on Artificial Intelligence

Authors Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao

Institutions Guangdong University of Technology, Digital Science (United States), Advanced Digital Sciences Center, Foshan University

Cites: 31

Cited by: 26

Related to: 10

FWCI: 0.367

Citation percentile (by year/subfield): 68.69

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Reduced inequalities

Open Access status: bronze