bayesian inference 1data imputation 1differential privacy 1large-sample approximation 1privacy-preserving statistics 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Large-Sample Bayesian Approximations for Privatized Data
Jordan Awan, Xi Chen, Roberto Molinari
The paper introduces an approximate Bayesian method that imputes confidential data and then samples from the non‑private posterior to enable valid inference on large, differentiall…
stat.CO2025
Best Linear Unbiased Estimate from Privatized Contingency Tables
Jordan Awan, Adam Edwards, Paul Bartholomew +1
In differential privacy (DP) mechanisms, it can be beneficial to release "redundant" outputs, where some quantities can be estimated in multiple ways by combining different privati…