Ruobin Gong discusses approximate Bayesian computation, a practical suite of methods to simulate from approximate posterior distributions of complex Bayesian models, produces exact posterior samples when applied to differentially private perturbation data.
Image courtesy of Ruobin Gong
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Image courtesy of interviewee. February 23, 2021
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