Bounds on the conditional and average treatment effect with unobserved confounding factors
Author:
Affiliation:
1. Google Research, Brain Team
2. Decision, Risk, and Operations Division, Columbia Business School
3. Research and Development, Waymark
4. Statistics and Electrical Engineering, Stanford University
5. Biomedical Data Science, Stanford University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference58 articles.
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3. Miratrix, L. W., Wager, S. and Zubizarreta, J. R. (2018). Shape-constrained partial identification of a population mean under unknown probabilities of sample selection. Biometrika 105 103–114.
4. Athey, S., Tibshirani, J. and Wager, S. (2019). Generalized random forests. Ann. Statist. 47 1148–1178.
5. Newey, W. K. (1994). The asymptotic variance of semiparametric estimators. Econometrica 62 1349–1382.
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