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20132025
most citedStatistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

181 citations · 241 across the 29 of their papers we have counts for

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5 papers · 1 filter

math.ST2023

One-Step Estimation of Differentiable Hilbert-Valued Parameters

Alex Luedtke, Incheoul Chung

We present estimators for smooth Hilbert-valued parameters, where smoothness is characterized by a pathwise differentiability condition. When the parameter space is a reproducing k…

math.ST2020★ 1 cited

Sufficient and insufficient conditions for the stochastic convergence of Cesàro means

Aurélien F. Bibaut, Alex Luedtke, Mark J. van der Laan

We study the stochastic convergence of the Cesàro mean of a sequence of random variables. These arise naturally in statistical problems that have a sequential component, where the…

math.ST2017★ 7 cited

Faster Rates for Policy Learning

Alexander Luedtke, Antoine Chambaz

This article improves the existing proven rates of regret decay in optimal policy estimation. We give a margin-free result showing that the regret decay for estimating a within-cla…

math.ST2016★ 1 cited

Toward computerized efficient estimation in infinite-dimensional models

Marco Carone, Alexander R. Luedtke, Mark J. van der Laan

Despite the risk of misspecification they are tied to, parametric models continue to be used in statistical practice because they are accessible to all. In particular, efficient es…

math.ST2016★ 181 cited

Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy

Alexander R. Luedtke, Mark J. van der Laan

We consider challenges that arise in the estimation of the mean outcome under an optimal individualized treatment strategy defined as the treatment rule that maximizes the populati…