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Evaluating treatments received by one population for application to a different target population of scientific interest is a central problem in causal inference from observational studies.
The central role of the propensity score in observational studies for causal effects
P. R. Rosenbaum and D. B. Rubin · 1983
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On nonparametric estimation of the value of a linear functional in Gaussian white noise
I. A. Ibragimov and R. Z. Khas’minskii · 1985
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D. L. Donoho · 1994
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Geometric parameters of kernel machines
S. Mendelson · 2002
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Probability and computing: Randomized algorithms and probabilistic analysis
M. Mitzenmacher and E. Upfal · 2005
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Learning theory: an approximation theory viewpoint , volume 24
F. Cucker and D. X. Zhou · 2007
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Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
J. D. Kang and J. L. Schafer · 2007
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Comment: Performance of double-robust estimators when “inverse probability” weights are highly variable
J. Robins, M. Sued, Q. Lei-Gomez, and A. Rotnitzky · 2007
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Learning theory estimates via integral operators and their approximations
S. Smale and D.-X. Zhou · 2007
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Self-normalized processes: Limit theory and Statistical Applications
V. H. Peña, T. L. Lai, and Q.-M. Shao · 2008
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Nonparametric estimation by convex programming
A. B. Juditsky and A. S. Nemirovski · 2009
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The missing wendland functions
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Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies
J. Hainmueller · 2012
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Random design analysis of ridge regression
D. Hsu, S. M. Kakade, and T. Zhang · 2012
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Approximation numbers of sobolev embeddings—sharp constants and tractability
T. Kühn, W. Sickel, and T. Ullrich · 2014
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Improving covariate balancing propensity score: A doubly robust and efficient approach
J. Fan, K. Imai, H. Liu, Y. Ning, and X. Yang · 2016
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Sobolev norm learning rates for regularized least-squares algorithm
S. Fischer and I. Steinwart · 2017
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Optimal inference in a class of regression models
T. B. Armstrong and M. Kolesár · 2018
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Augmented minimax linear estimation
D. A. Hirshberg and S. Wager · 2018
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Cross-fitting and fast remainder rates for semiparametric estimation
W. K. Newey and J. R. Robins · 2018
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J. R. Zubizarreta · 2015
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Kernel-based covariate functional balancing for observational studies
R. K. Wong and K. C. G. Chan · 2018
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