SOMA: A Novel Sampler for Bayesian Inference from Privatized Data

Yifei Xiong, Nianqiao Phyllis Ju

Making valid statistical inferences from privatized data is a key challenge in modern analysis. In Bayesian settings, data augmentation MCMC (DAMCMC) methods impute unobserved conf…