18 citations · 48 across the 12 of their papers we have counts for
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math.ST2017★ 3 cited
Finite Sample Inference for Targeted Learning
Mark van der Laan
The Highly-Adaptive-Lasso(HAL)-TMLE is an efficient estimator of a pathwise differentiable parameter in a statistical model that at minimal (and possibly only) assumes that the sec…
math.ST2017★ 4 cited
Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters
Aurelien F. Bibaut, Mark J. van der Laan
We consider nonparametric inference of finite dimensional, potentially non-pathwise differentiable target parameters. In a nonparametric model, some examples of such parameters tha…
stat.ME2017
Controlling Familywise Error When Rejecting at Most One Null Hypothesis Each From a Sequence of Sub-Families of Null Hypotheses
Geoffrey I. Webb, Mark van der Laan
We present a procedure for controlling FWER when sequentially considering successive subfamilies of null hypotheses and rejecting at most one from each subfamily. Our procedure dif…