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Copula Transformations for Data-Consistent Inversion

Butler, Troy et al.
arXiv (All) · Papers
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machine-learningoptimization-and-controlprobabilitystatistics-theory
Data-consistent inversion (DCI) constructs probability measures whose push-forward distributions agree with observed data, while iterative data-consistent inversion (iDCI) extends this framework to generalized stochastic inverse problems by enforcing multiple push-forward constraints sequentially. A
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