Discussion of ``On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

DOI10.1214/20-STS796OpenAlexW3084082487WikidataQ114599258 ScholiaQ114599258MaRDI QIDQ2218091

Edward H. Kennedy, Sivaraman Balakrishnan, Larry Alan Wasserman

Publication date: 12 January 2021

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

Full work available at URL: https://arxiv.org/abs/2006.09613

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators ⋮ Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

Cites Work

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• On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
• Effect of mean on variance function estimation in nonparametric regression
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