Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data

DOI10.1214/22-AOAS1604zbMath1498.62211arXiv2102.08255OpenAlexW4297333601MaRDI QIDQ2080771

Joseph Feldman, Daniel R. Kowal

Publication date: 10 October 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.08255

zbMATH Keywords

copulanonparametric regressionfactor modeldata privacy

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

Uses Software

• bfa
• synthpop

Cites Work

• Unnamed Item
• Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study
• BART: Bayesian additive regression trees
• Simultaneous transformation and rounding (STAR) models for integer-valued data
• Extending the rank likelihood for semiparametric copula estimation
• Sparse Bayesian infinite factor models
• The horseshoe estimator for sparse signals
• Nonparametric Bayes Modeling of Multivariate Categorical Data
• Bayesian Analysis of Binary and Polychotomous Response Data
• Bayesian Gaussian Copula Factor Models for Mixed Data

This page was built for publication: Bayesian data synthesis and the utility-risk trade-off for mixed epidemiological data