2 papers
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…
stat.ME2024
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
Joseph Feldman, Daniel Kowal
Quantile regression is a powerful tool for inferring how covariates affect specific percentiles of the response distribution. Existing methods either estimate conditional quantiles…