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03/06/2023
Empirical partially Bayes multiple testing and compound χ^2 decisions
We study multiple testing in the normal means problem with estimated var...
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07/15/2022
Treatment Heterogeneity for Survival Outcomes
Estimation of conditional average treatment effects (CATEs) plays an ess...
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02/03/2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
A growing body of work uses the paradigm of algorithmic fairness to fram...
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10/29/2020
Group-regularized ridge regression via empirical Bayes noise level cross-validation
Features in predictive models are not exchangeable, yet common supervise...
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04/20/2020
Noise-Induced Randomization in Regression Discontinuity Designs
Regression discontinuity designs are used to estimate causal effects in ...
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11/14/2019
Empirical Bayes mean estimation with nonparametric errors via order statistic regression
We study empirical Bayes estimation of the effect sizes of N units from ...
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06/04/2019
Covariate-Powered Empirical Bayes Estimation
We study methods for simultaneous analysis of many noisy experiments in ...
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02/07/2019