64 citations · 201 across the 34 of their papers we have counts for
3 papers · 1 filter
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…
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky +1
Varying coefficient models (VCMs) are widely used for estimating nonlinear regression functions for functional data. Their Bayesian variants using Gaussian process priors on the fu…
Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys
Terrance D. Savitsky, Matthew R. Williams, Sanvesh Srivastava
We devise survey-weighted pseudo posterior distribution estimators under two-stage informative sampling of both primary clusters and secondary nested units for a one-way analysis o…