2 citations · 5 across the 5 of their papers we have counts for
10 papers
A Generator for Generalized Inverse Gaussian Distributions
Xiaozhu Zhang, Jerome P. Reiter
We propose a new generator for the generalized inverse Gaussian (GIG) distribution by decomposing the density of GIG into two components. The first component is a truncated inverse…
Using auxiliary marginal distributions in imputations for nonresponse while accounting for survey weights, with application to estimating voter turnout
Jiurui Tang, D. Sunshine Hillygus, Jerome P. Reiter
The Current Population Survey is the gold-standard data source for studying who turns out to vote in elections. However, it suffers from potentially nonignorable unit and item nonr…
A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts
Michelle Pistner Nixon, Andrés F. Barrientos, Jerome P. Reiter +1
Several algorithms exist for creating differentially private counts from contingency tables, such as two-way or three-way marginal counts. The resulting noisy counts generally do n…
Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margin
Olanrewaju Akande, Jerome P. Reiter
We outline a framework for multiple imputation of nonignorable item nonresponse when the marginal distributions of some of the variables with missing values are known. In particula…
Bayesian Causal Inference with Bipartite Record Linkage
Sharmistha Guha, Jerome P. Reiter, Andrea Mercatanti
In many scenarios, the observational data needed for causal inferences are spread over two data files. In particular, we consider scenarios where one file includes covariates and t…
Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse
Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus +1
Often, government agencies and survey organizations know the population counts or percentages for some of the variables in a survey. These may be available from auxiliary sources,…