22 citations · 30 across the 31 of their papers we have counts for
5 papers · 1 filter
Adaptive Confidence Sets for Binary Regression without Design Smoothness
P. M. Aronow, Patrick Lopatto
We study honest adaptive confidence sets for the regression function in random-design binary regression under loss. Assuming only known bounds on…
Nearly-minimax variance estimation under rough random design
P. M. Aronow, Patrick Lopatto
We identify the minimax exponent for constant conditional variance estimation under rough random design. The unknown design density is bounded above and away from zero, with no smo…
Minimax unbiased estimation for finite populations with bounded outcomes
P. M. Aronow, Patrick Lopatto
We study design-unbiased estimation of the finite-population total when each outcome satisfies known bounds . For any sampling design with inclu…
One-step TMLE for weighted average treatment effects
Yang Liu, Patrick Lopatto, Ivana Malenica
We consider Targeted Maximum Likelihood Estimation (TMLE) of weighted average treatment effects (WATEs), a class of causal estimands that reweight the covariate distribution using…
Randomization-based confidence sets for the local average treatment effect
P. M. Aronow, Haoge Chang, Patrick Lopatto
We consider the problem of generating confidence sets in randomized experiments with noncompliance. We show that a refinement of a randomization-based procedure proposed by Imbens…