22 citations · 82 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
Multiple Imputation and Synthetic Data Generation with the R package NPBayesImputeCat
Jingchen Hu, Olanrewaju Akande, Quanli Wang
In many contexts, missing data and disclosure control are ubiquitous and challenging issues. In particular at statistical agencies, the respondent-level data they collect from surv…
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…
Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy
Terrance D. Savitsky, Jingchen Hu, Matthew R. Williams
We address practical implementation of a risk-weighted pseudo posterior synthesizer for microdata dissemination with a new re-weighting strategy that maximizes utility of released…
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…