A residual-driven adaptive Gaussian mixture approximation for Bayesian inverse problems
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Publication:2050925
DOI10.1016/J.CAM.2021.113707zbMath1472.62090OpenAlexW3185213147MaRDI QIDQ2050925
Publication date: 1 September 2021
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2021.113707
Gaussian mixture approximationmultimodal identificationresidual-drivensmoothed expectation-maximization
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to physics (62P35)
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