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Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems.

Han Cheng LieTimothy John SullivanAretha L. Teckentrup
Published in: SIAM/ASA J. Uncertain. Quantification (2018)
Keyphrases
  • inverse problems
  • maximum likelihood
  • probabilistic model
  • image reconstruction
  • convex optimization
  • multiscale
  • search space
  • high resolution
  • model selection
  • global optimization
  • bayesian framework