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Double/Debiased Machine Learning for Treatment and Structural Parameters
Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney K. Newey, James M. Robins
National Bureau of Economic Research Harvard University University of California, Los Angeles University of Chicago
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摘要与影响
摘要 · 完整
Masterclass on Causal Machine Learning, and St. Gallen's summer school on "Big Data", for many useful comments and questions.
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学术脉络
学科主题
计算机 / AIStatistical Methods and Inference
Advanced Causal Inference Techniques · Statistical Methods in Clinical Trials
参考文献 107
Cross-Validated Targeted Minimum-Loss-Based Estimation
被引 182Wenjing Zheng, Mark J. van der Laan · Springer series in statistics · 2011
Statistical Inference for Data Adaptive Target Parameters
被引 62Alan Hubbard, Sara Kherad-Pajouh, Mark J. van der Laan · The International Journal of Biostatistics · 2016
Confidence Intervals for Low-Dimensional Parameters With High-Dimensional Data
被引 29Cun‐Hui Zhang, Stephanie S. Zhang · arXiv (Cornell University) · 2011
此处列出前 3 条
引用本文 537
Causal machine learning for predicting treatment outcomes
被引 329Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk · Nature Medicine · 2024
Causal machine learning for healthcare and precision medicine
被引 211Pedro Sanchez, Jeremy P. Voisey, Tian Xia · Royal Society Open Science · 2022
Technology readiness levels for machine learning systems
被引 189Alexander Lavin, Ciarán Lee, Alessya Visnjic · Nature Communications · 2022
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