Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
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DOI: 10.1007/s11222-020-09954-6
Abstract: 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 solving this computational statistics problem under the following… read more here.
Keywords: gaussian probabilistic; non gaussian; sampling bayesian; bayesian posteriors ... See more keywords