Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations

Takashi Isozaki; Manabu Kuroki

doi:10.1007/s00354-016-0003-x

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JOURNAL ARTICLE

Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations

Takashi Isozaki Manabu Kuroki

Year: 2016 Journal: New Generation Computing Vol: 35 (1)Pages: 29-45 Publisher: Springer Science+Business Media

DOI: 10.1007/s00354-016-0003-x

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Keywords:

Causal inference Computer science Latent variable Causal model Causal structure Inference Machine learning Artificial intelligence Constraint (computer-aided design) Graph Theoretical computer science Econometrics Mathematics Statistics

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

AI-based Problem Solving and Planning

Physical Sciences → Computer Science → Artificial Intelligence

Learning Causal Graphs with Latent Confounders in Weak Faithfulness Violations

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