64 citations · 201 across the 34 of their papers we have counts for
4 papers · 1 filter
Joint Point and Variance Estimation under a Hierarchical Bayesian model for Survey Count Data
Terrance D. Savitsky, Julie Gershunskaya, Mark Crankshaw
We propose a novel Bayesian framework for the joint modeling of survey point and variance estimates for count data. The approach incorporates an induced prior distribution on the m…
Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps
Terrance D. Savitsky, Matthew R. Williams, Julie Gershunskaya +2
Nonprobability (convenience) samples are increasingly sought to reduce the estimation variance for one or more population variables of interest that are estimated using a randomize…
Mechanisms for Global Differential Privacy under Bayesian Data Synthesis
Jingchen Hu, Matthew R. Williams, Terrance D. Savitsky
This paper introduces a new method that embeds any Bayesian model used to generate synthetic data and converts it into a differentially private (DP) mechanism. We propose an altera…
Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps
Terrance D. Savitsky, Matthew R. Williams, Julie Gershunskaya +2
Nonprobability (convenience) samples are increasingly sought to stabilize estimations for one or more population variables of interest that are performed using a randomized survey…