Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models

Andrea Manzoni, Stefano Pagani, Toni Lassila. Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. SIAM/ASA J. Uncertain. Quantification, 4(1):380-412, 2016. [doi]

@article{ManzoniPL16,
  title = {Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models},
  author = {Andrea Manzoni and Stefano Pagani and Toni Lassila},
  year = {2016},
  doi = {10.1137/140995817},
  url = {https://doi.org/10.1137/140995817},
  researchr = {https://researchr.org/publication/ManzoniPL16},
  cites = {0},
  citedby = {0},
  journal = {SIAM/ASA J. Uncertain. Quantification},
  volume = {4},
  number = {1},
  pages = {380-412},
}