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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...
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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...
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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...
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04/05/2022
Methods for Combining Probability and Nonprobability Samples Under Unknown Overlaps
Nonprobability (convenience) samples are increasingly sought to stabiliz...
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01/15/2021
Fully Bayesian Estimation under Dependent and Informative Cluster Sampling
Survey data are often collected under multistage sampling designs where ...
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01/15/2021
Private Tabular Survey Data Products through Synthetic Microdata Generation
We propose three synthetic microdata approaches to generate private tabu...
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06/01/2020
Re-weighting of Vector-weighted Mechanisms for Utility Maximization under Differential Privacy
We implement a pseudo posterior synthesizer for microdata dissemination ...
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06/01/2020
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
Varying coefficient models (VCMs) are widely used for estimating nonline...
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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...
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09/25/2019
Bayesian Pseudo Posterior Mechanism under Differential Privacy
We propose a Bayesian pseudo posterior mechanism to generate record-leve...
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08/20/2019
Risk-Efficient Bayesian Data Synthesis for Privacy Protection
High-utility and low-risks synthetic data facilitates microdata dissemin...
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04/16/2019
Bayesian Mixed Effects Model Estimation under Informative Sampling
When random effects are correlated with the response variable of interes...
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01/19/2019
Bayesian Pseudo Posterior Synthesis for Data Privacy Protection
Statistical agencies utilize models to synthesize respondent-level data ...
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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...
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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...
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07/31/2018
Bayesian Uncertainty Estimation Under Complex Sampling
Multistage sampling designs utilized by federal statistical agencies are...
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07/12/2018
Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
An informative sampling design leads to unit inclusion probabilities tha...
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12/28/2017
