16 citations
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2019★ 12 cited
Risk-Efficient Bayesian Data Synthesis for Privacy Protection
Jingchen Hu, Terrance D. Savitsky, Matthew R. Williams
Statistical agencies utilize models to synthesize respondent-level data for release to the public for privacy protection. In this work, we efficiently induce privacy protection int…
stat.ME2018★ 16 cited
Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
Matthew R. Williams, Terrance D. Savitsky
An informative sampling design leads to unit inclusion probabilities that are correlated with the response variable of interest. However, multistage sampling designs may also induc…
stat.ME2018★ 14 cited
Bayesian Uncertainty Estimation Under Complex Sampling
Matthew R. Williams, Terrance D. Savitsky
Social and economic studies are often implemented as complex survey designs. For example, multistage, unequal probability sampling designs utilized by federal statistical agencies…