☆ 4.7 Article

Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction

JOURNAL OF COMPUTATIONAL PHYSICS (2016)

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Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction

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