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In this article we study a class of parameters with the so-called `mixed bias property'.
A unifying approach for doubly-robust ℓ 1 \ell_{1} regularized estimation of causal contrasts
Smucler, E., Rotnitzky, A., and Robins, J. M. (2019) · 1904
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Cross-validated targeted minimum-loss-based estimation
Zheng, W. and van der Laan, M. J. (2011) · 1904
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On asymptotically efficient estimation in semiparametric models
Schick, A. (1986) · 1986
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Minimax estimation of a functional on a structured high-dimensional model
Robins, J. M., Li, L., Mukherjee, R., Tchetgen, E. T., and van der Vaart, A. (2017) · 1987
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Nonparametric policy analysis
Stock, J. H. (1989) · 1989
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Undersmoothing and bias corrected functional estimation
Newey, W. K., Hsieh, F., and Robins, J. (1998) · 1998
Cited alongside, same era.
Adjusting for nonignorable drop-out using semiparametric nonresponse models
Scharfstein, D. O., Rotnitzky, A., and Robins, J. M. (1999) · 1999
Cited alongside, same era.
Asymptotic statistics
Van der Vaart, A. W. (2000) · 2000
Cited alongside, same era.
Comment on the bickel and kwon article,“inference for semiparametric models: Some questions and an answer”
Robins, J. M. and Rotnitzky, A. (2001) · 2001
Cited alongside, same era.
Twicing kernels and a small bias property of semiparametric estimators
Newey, W. K., Hsieh, F., and Robins, J. M. (2004) · 2004
Cited alongside, same era.
Double/De-Biased Machine Learning Using Regularized Riesz Representers
Support vector machines
Christmann, A. and Steinwart, I. (2008) · 2008
Later among the works it cites.
Higher order influence functions and minimax estimation of nonlinear functionals
Robins, J., Li, L., Tchetgen, E., and van der Vaart, A. (2008) · 2008
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Applications of influence functions to semiparametric regression models
Ayyagari, R. (2010) · 2010
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Locally Robust Semiparametric Estimation
Chernozhukov, V., Escanciano, J. C., Ichimura, H., Newey, W. K., and Robins, J. M. (2016) · 2016
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Augmented Minimax Linear Estimation
Hirshberg, D. A. and Wager, S. (2017) · 2017
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Chernozhukov, V., Newey, W., and Robins, J. (2018a)
Cited in the paper.
Learning L2 Continuous Regression Functionals via Regularized Riesz Representers
Chernozhukov, V., Newey, W. K., and Singh, R. (2018b)
Cited in the paper.