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We consider nonparametric inference of finite dimensional, potentially non-pathwise differentiable target parameters.
On some global measures of the deviations of density function estimates
Peter J. Bickel and Murray Rosenblatt · 1973
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A fast and efficient cross-validation method for smoothing parameter choice in spline regression
Bernard W. Silverman · 1984
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An asymptotically optimal window selection rule for kernel density estimates
Charles J. Stone · 1984
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Optimal bandwidth selection in nonparametric regression function estimation
Wolfgang Hardle and James Stephen Marron · 1985
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Estimation in Semiparametric Models
Johann Pfanzagl · 1990
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Effect of bias estimation on coverage accuracy of bootstrap confidence intervals for a probability density
Peter Hall · 1992
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Efficient and Adaptive Estimation for Semiparametric Models
Peter J. Bickel, Chris A. J. Klaassen, Yaacov Ritov, and Jon A. Wellner · 1993
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Applied nonparametric regression
Wolfgang Hardle · 1993
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Efficient and Inefficient Estimation in Semiparametric Models
Mark J. van der Laan · 1993
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An identity for the nonparametric maximum likelihood estimator in missing data and biased sampling models
Mark J. van der Laan · 1995
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On nonparametric confidence intervals
Mark G. Low · 1997
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Marginal structural models and causal inference in epidemiology
James Robins, Miguel Angel Hernan, and Babette Brumback · 2000
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Unified Methods for Censored Longitudinal Data and Causality
Mark J. van der Laan and James M. Robins · 2003
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Asymptotic optimality of likelihood based cross-validation
Mark J. van der Laan, Sandrine Dudoit, and Sunduz Keles · 2004
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Confidence bands in density estimation
Evarist Gine and Richard Nickl · 2010
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Super learner in prediction
Eric C. Polley and Mark J. van der Laan · 2010
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Asymptotic theory for cross-validated targeted maximum likelihood estimation
Wenjing Zheng and Mark J. van der Laan · 2010
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Positivity
Maya L. Petersen, Kristin E. Porter, Susan Gruber, Yue Wang, and Mark J. van der Laan · 2011
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Foundations of TMLE
Mark J van der Laan and Sherri Rose · 2011
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Targeted data adaptive estimation of the causal dose–response curve
Ivan Diaz · 2012
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The cross-validated adaptive epsilon-net estimator
Mark J. van der Laan, Sandrine Dudoit, and Aad W. van der Vaart · 2006
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Data-adaptive selection of the truncation level for inverse-probability-of-treatment-weighted estimators
Oliver Bembom and Mark J. van der Laan · 2008
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Edward H. Kennedy, Zongming Ma, Matthew D. McHugh, and Dylan S. Small · 2016
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Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy
Alexander R. Luedtke and Mark J. van der Laan · 2016
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