1 citations · 2 across the 4 of their papers we have counts for
10 papers
Privacy Protection for Youth Risk Behavior Using Bayesian Data Synthesis: A Case Study to the YRBS
Yixiao Cao, Jingchen Hu
The large number of publicly available survey datasets of wide variety, albeit useful, raise respondent-level privacy concerns. The synthetic data approach to data privacy and conf…
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…
Two-Phase Data Synthesis for Income: An Application to the NHIS
Kevin Ros, Henrik Olsson, Jingchen Hu
We propose a two-phase synthesis process for synthesizing income, a sensitive variable which is usually highly-skewed and has a number of reported zeros. We consider two forms of a…
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…
Online Statistics Teaching and Learning
Jim Albert, Mine Cetinkaya-Rundel, Jingchen Hu
For statistics courses at all levels, teaching and learning online poses challenges in different aspects. Particular online challenges include how to effectively and interactively…
Bayesian Computing in the Undergraduate Statistics Curriculum
Jim Albert, Jingchen Hu
Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniq…