Terrance D. Savitsky | DeepAI

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Cheng Li
122 publications
Jingchen Hu
19 publications
Matthew R. Williams
11 publications
Sanvesh Srivastava
9 publications
Rajarshi Guhaniyogi
8 publications
Ryan Hornby
3 publications
Julie Gershunskaya
2 publications
Luis G. Leon-Novelo
2 publications
Vladislav Beresovsky
2 publications
Nels G. Johnson
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Matthew M. Williams
1 publication

∙ 08/13/2023

csSampling: An R Package for Bayesian Models for Complex Survey Data

We present csSampling, an R package for estimation of Bayesian models fo...

0 Ryan Hornby, et al. ∙

∙ 10/25/2022

Joint Point and Variance Estimation under a Hierarchical Bayesian model for Survey Count Data

We propose a novel Bayesian framework for the joint modeling of survey p...

0 Terrance D. Savitsky, et al. ∙

∙ 05/10/2022

Mechanisms for Global Differential Privacy under Bayesian Data Synthesis

This paper introduces a new method that embeds any Bayesian model used t...

0 Jingchen Hu, et al. ∙

∙ 04/05/2022

Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps

Nonprobability (convenience) samples are increasingly sought to stabiliz...

0 Terrance D. Savitsky, et al. ∙

∙ 01/15/2021

Fully Bayesian Estimation under Dependent and Informative Cluster Sampling

Survey data are often collected under multistage sampling designs where ...

0 Luis G. Leon-Novelo, et al. ∙

∙ 01/15/2021

Private Tabular Survey Data Products through Synthetic Microdata Generation

We propose three synthetic microdata approaches to generate private tabu...

0 Jingchen Hu, et al. ∙

∙ 06/01/2020

Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy

We implement a pseudo posterior synthesizer for microdata dissemination ...

0 Jingchen Hu, et al. ∙

∙ 06/01/2020

Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior

Varying coefficient models (VCMs) are widely used for estimating nonline...

0 Rajarshi Guhaniyogi, et al. ∙

∙ 04/13/2020

Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys

We present a comparison of survey-weighted Bayesian MCMC and frequentist...

0 Terrance D. Savitsky, et al. ∙

∙ 09/25/2019

Bayesian Pseudo Posterior Mechanism under Differential Privacy

We propose a Bayesian pseudo posterior mechanism to generate record-leve...

0 Terrance D. Savitsky, et al. ∙

∙ 08/20/2019

Risk-Efficient Bayesian Data Synthesis for Privacy Protection

High-utility and low-risks synthetic data facilitates microdata dissemin...

0 Jingchen Hu, et al. ∙

∙ 04/16/2019

Bayesian Mixed Effects Model Estimation under Informative Sampling

When random effects are correlated with the response variable of interes...

0 Terrance D. Savitsky, et al. ∙

∙ 01/19/2019

Bayesian Pseudo Posterior Synthesis for Data Privacy Protection

Statistical agencies utilize models to synthesize respondent-level data ...

0 Jingchen Hu, et al. ∙

∙ 01/12/2019

Optimization of Survey Weights under a Large Number of Conflicting Constraints

In the analysis of survey data, sampling weights are needed for consiste...

0 Matthew R. Williams, et al. ∙

∙ 09/26/2018

Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys

The release of synthetic data generated from a model estimated on the da...

0 Jingchen Hu, et al. ∙

∙ 07/31/2018

Bayesian Uncertainty Estimation Under Complex Sampling

Multistage sampling designs utilized by federal statistical agencies are...

0 Matthew R. Williams, et al. ∙

∙ 07/12/2018

Bayesian Estimation Under Informative Sampling with Unattenuated Dependence

An informative sampling design leads to unit inclusion probabilities tha...

0 Matthew R. Williams, et al. ∙

∙ 12/28/2017

A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging

Flexible hierarchical Bayesian modeling of massive data is challenging d...

0 Rajarshi Guhaniyogi, et al. ∙

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