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Estimation of heterogeneous causal effects - i.e., how effects of policies and treatments vary across subjects - is a fundamental task in causal inference.
Asymptotic efficiency in estimation with conditional moment restrictions
G. Chamberlain · 1987
Earlier work this paper cites.
Some problems on nonparametric estimation in gaussian white noise
I. A. Ibragimov, A. S. Nemirovskii, and R. Khas’minskii · 1987
Earlier work this paper cites.
Estimating integrated squared density derivatives: sharp best order of convergence estimates
P. J. Bickel and Y. Ritov · 1988
Earlier work this paper cites.
Root-n-consistent semiparametric regression
P. M. Robinson · 1988
Earlier work this paper cites.
Estimating exposure effects by modelling the expectation of exposure conditional on confounders
J. M. Robins, S. D. Mark, and W. K. Newey · 1992
Earlier work this paper cites.
Correcting for non-compliance in randomized trials using structural nested mean models
J. M. Robins · 1994
Earlier work this paper cites.
Estimation of integral functionals of a density
L. Birgé and P. Massart · 1995
Earlier work this paper cites.
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A. Nemirovski · 2000
Earlier work this paper cites.
Distributional and l q l^{q} norm inequalities for polynomials over convex bodies in r n r^{n}
A. Carbery and J. Wright · 2001
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Nonparametric goodness-of-fit testing under Gaussian models , volume 169
Y. Ingster, J. I. Ingster, and I. Suslina · 2003
Earlier work this paper cites.
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Earlier work this paper cites.
Statistical inference for variable importance
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Earlier work this paper cites.
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Earlier work this paper cites.
Effect of mean on variance function estimation in nonparametric regression
L. Wang, L. D. Brown, T. T. Cai, and M. Levine · 2008
Earlier work this paper cites.
Introduction to Nonparametric Estimation
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J. C. Foster, J. M. Taylor, and S. J. Ruberg · 2011
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R. Mukherjee, E. J. Tchetgen Tchetgen, and J. M. Robins · 2015
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Recursive partitioning for heterogeneous causal effects
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R. Mukherjee, W. K. Newey, and J. M. Robins · 2017
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Nonparametric estimation of causal heterogeneity under high-dimensional confounding
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Minimax optimal nonparametric estimation of heterogeneous treatment effects
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Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects
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Adaptive estimation of nonparametric functionals
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Quasi-oracle estimation of heterogeneous treatment effects
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Towards optimal doubly robust estimation of heterogeneous causal effects
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