4 papers
Locally Equivalent Weights for Multilevel Regression and Poststratification
Ryan Giordano, Alice Cima, Jared Murray +2
Multilevel regression and poststratification (MrP) has become a workhorse method for estimating population quantities from non-probability surveys, and is the primary model-based a…
Ridge Boosting is Both Robust and Efficient
David Bruns-Smith, Zhongming Xie, Avi Feller
Estimators in statistics and machine learning must typically trade off between efficiency, having low variance for a fixed target, and distributional robustness, such as multiaccur…
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
Oscar Clivio, Avi Feller, Chris Holmes
Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging…
On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
Ricardo J. Sandoval, Sivaraman Balakrishnan, Avi Feller +2
We study nonasymptotic (finite-sample) confidence intervals for treatment effects in randomized experiments. In the existing literature, the effective sample sizes of nonasymptotic…