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

Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction (Q2375191)

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Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction
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    Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction (English)
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    5 December 2016
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    inverse problems
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    Bayesian inference
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    dimension reduction
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    model reduction
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    low-rank approximation
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    Markov chain Monte Carlo
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