activity
20242026
collaborators

5 papers

stat.ME2026

Multiple imputation for nonresponse in surveys using design weights and auxiliary margins

Kewei Xu, Jerome P. Reiter

Survey data typically have missing values due to unit and item nonresponse. Sometimes, survey organizations know the marginal distributions of certain categorical variables in the…

stat.ME2026

Differentially Private Bayesian Inference for Gaussian Copula Correlations

Shuo Wang, Joseph Feldman, Jerome P. Reiter

Gaussian copulas are widely used to estimate multivariate distributions and relationships. We present algorithms for estimating Gaussian copula correlations that ensure differentia…

stat.ME2025

Differentially Private Computation of the Gini Index for Income Inequality

Wenjie Lan, Jerome P. Reiter

The Gini index is a widely reported measure of income inequality. In some settings, the underlying data used to compute the Gini index are confidential. The organization charged wi…

stat.ME2025

Outcome-Assisted Multiple Imputation of Missing Treatments

Joseph Feldman, Jerome P. Reiter

We provide guidance on multiple imputation of missing at random treatments in observational studies. Specifically, analysts should account for both covariates and outcomes, i.e., n…

stat.ME2024

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles

Joseph Feldman, Jerome P. Reiter, Daniel R. Kowal

We present an approach for modeling and imputation of nonignorable missing data. Our approach uses Bayesian data integration to combine (1) a Gaussian copula model for all study va…