Data Augmentation MCMC for Bayesian Inference from Privatized Data: Neyman seminar

Data Augmentation MCMC for Bayesian Inference from Privatized Data: Neyman seminar

Neyman Seminar
Sep 28, 2022, 04:00 PM - 12:00 AM | Evans 1011. Evans Hall | Happening As Scheduled
Nianqiao (Phyllis) Ju, Purdue University

Abstract: Differentially private mechanisms protect privacy by introducing additional randomness into the data. When the data analyst has access only to the privatized data, it is a challenge to perform valid statistical inference on parameters underlying the confidential data. Specifically, the likelihood function of the privatized data requires integrating over the large space of confidential...