2 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.CO2023★ 2 cited
csSampling: An R Package for Bayesian Models for Complex Survey Data
Ryan Hornby, Matthew R. Williams, Terrance D. Savitsky +1
We present csSampling, an R package for estimation of Bayesian models for data collected from complex survey samples. csSampling combines functionality from the probabilistic progr…
stat.ME2021
Bayesian Estimation of Attribute Disclosure Risks in Synthetic Data with the R Package
Ryan Hornby, Jingchen Hu
Synthetic data is a promising approach to privacy protection in many contexts. A Bayesian synthesis model, also known as a synthesizer, simulates synthetic values of sensitive vari…
stat.ME2020★ 1 cited
Identification Risks Evaluation of Partially Synthetic Data with the R Package
Ryan Hornby, Jingchen Hu
We extend a general approach to evaluating identification risk of synthesized variables in partially synthetic data. For multiple continuous synthesized variables, we introduce the…