6 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
Sparsity Double Robust Inference of Average Treatment Effects
Jelena Bradic, Stefan Wager, Yinchu Zhu
Many popular methods for building confidence intervals on causal effects under high-dimensional confounding require strong "ultra-sparsity" assumptions that may be difficult to val…
Debiased Inference of Average Partial Effects in Single-Index Models
David A. Hirshberg, Stefan Wager
We propose a method for average partial effect estimation in high-dimensional single-index models that is root-n-consistent and asymptotically unbiased given sparsity assumptions o…
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
Luke W. Miratrix, Stefan Wager, Jose R. Zubizarreta
A prevailing challenge in the biomedical and social sciences is to estimate a population mean from a sample obtained with unknown selection probabilities. Using a well-known ratio…
The Efficiency of Density Deconvolution
Stefan Wager
The density deconvolution problem involves recovering a target density g from a sample that has been corrupted by noise. From the perspective of Le Cam's local asymptotic normality…