Automated versus do-it-yourself methods for causal inference: lessons learned from a data analysis competition

DOI10.1214/18-STS667zbMath1420.62345arXiv1707.02641OpenAlexW2964261049WikidataQ99716384 ScholiaQ99716384MaRDI QIDQ2325609

Yanyan Li

Publication date: 27 September 2019

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1707.02641

zbMATH Keywords

competitionevaluationmachine learningresponse surfacecausal inferenceautomated algorithms

Mathematics Subject Classification ID

Theory of statistical experiments (62B15) Learning and adaptive systems in artificial intelligence (68T05) Response surface designs (62K20)

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Uses Software

• BayesTree
• Matching
• OpenML
• BartPy

Cites Work

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