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Doubly robust estimators with cross-fitting have gained popularity in causal inference due to their favorable structure-agnostic error guarantees.
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Asymptotic theory for cross-validated targeted maximum likelihood estimation
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Higher order inference on a treatment effect under low regularity conditions
L. Li, E. Tchetgen Tchetgen, A. van der Vaart, and J. M. Robins · 2011
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Targeted Learning: Causal Inference for Observational and Experimental Data
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On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning
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The hardness of conditional independence testing and the generalised covariance measure
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Nearest Neighbor Classification and Search , chapter 18, pages 403–423
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Mathematical foundations of infinite-dimensional statistical models
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Adaptive estimation of nonparametric functionals
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Characterization of parameters with a mixed bias property
A. Rotnitzky, E. Smucler, and J. M. Robins · 2021
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