Recursive partitioning for heterogeneous causal effects

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 27, 2016, Pages 7353-7360

  Athey, Susan ^a   Imbens, Guido ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Causal inference; Cross validation; Heterogeneous treatment effects; Potential outcomes; Supervised machine learning

Indexed keywords

ARTICLE; CONFIDENCE INTERVAL; CONTROLLED STUDY; EXPERIMENTAL STUDY; HETEROGENEOUS CAUSAL EFFECT; MACHINE LEARNING; OBSERVATIONAL STUDY; PREDICTION; PRIORITY JOURNAL; REWARD; SIMULATION; COMPUTER SIMULATION; METHODOLOGY; STATISTICS; THEORETICAL MODEL;

COMPUTER SIMULATION; MACHINE LEARNING; MODELS, THEORETICAL; RESEARCH DESIGN; STATISTICS AS TOPIC;

EID: 84977271090     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1510489113     Document Type: Article

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