Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
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Publication:2209715
DOI10.1007/s11222-020-09954-6zbMath1452.62987arXiv1910.12717OpenAlexW3033803740MaRDI QIDQ2209715
Christophe Desceliers, Christian Soize, Roger G. Ghanem
Publication date: 4 November 2020
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.12717
manifoldsprobabilistic learningmachine learninguncertainty quantificationBayesian posteriornon-Gaussiandata drivendata sciencessmall dataset
Statistics on manifolds (62R30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07)
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