Analysis of cause-effect inference by comparing regression errors
Author:
Affiliation:
1. Osaka University, Osaka, Japan
2. MPI for Intelligent Systems, Tübingen, Germany
3. Shiga University, Shiga, Japan
Abstract
Funder
ST CREST
JSPS KAKENHI
Publisher
PeerJ
Subject
General Computer Science
Link
https://peerj.com/articles/cs-169.pdf
Reference27 articles.
1. Cause-effect inference by comparing regression errors;Blöbaum,2018
2. A novel principle for causal inference in data with small error variance;Blöbaum,2017
3. Error asymmetry in causal and anticausal regression;Blöbaum;Behaviormetrika,2017
4. General Bayesian networks and asymmetric languages;Comley,2003
5. Inferring deterministic causal relations;Daniušis,2010
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