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Estimating Identifiable Causal Effects through Double Machine Learning
Author(s) -
Yonghan Jung,
Jin Tian,
Elias Bareinboim
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i13.17438
Subject(s) - identifiability , estimator , robustness (evolution) , causal model , causal inference , computer science , observational study , artificial intelligence , machine learning , identification (biology) , construct (python library) , key (lock) , econometrics , mathematics , statistics , biochemistry , chemistry , botany , computer security , biology , gene , programming language

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