Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

V. Roshan Joseph, Dianpeng Wang, Li Gu +2

Markov chain Monte Carlo (MCMC) methods require a large number of samples to approximate a posterior distribution, which can be costly when the likelihood or prior is expensive to…