Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset

Christian Soize, Roger Ghanem

This paper tackles the challenge presented by small-data to the task of Bayesian inference. A novel methodology, based on manifold learning and manifold sampling, is proposed for s…