Work

An experimental comparison of linear non-Gaussian causal discovery methods and their variants

Year: 2010

Type: conference-paper

Source: International Joint Conference on Neural Networks (IJCNN)

DOI: 10.1109/ijcnn.2010.5596737

Authors: Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio

Institutions: The Institute of Scientific and Industrial Research, The University of Osaka, The University of Osaka

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science

OpenAlex ID: W2097683067

FWCI: 1.81

Cites: 23

Cited by: 11

Related to: 10