Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know

Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri. Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know. SIAM/ASA J. Uncertain. Quantification, 9(1):163-184, 2021. [doi]

@article{AlexanderianPSS21,
  title = {Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know},
  author = {Alen Alexanderian and Noemi Petra and Georg Stadler and Isaac Sunseri},
  year = {2021},
  doi = {10.1137/20M1347292},
  url = {https://doi.org/10.1137/20M1347292},
  researchr = {https://researchr.org/publication/AlexanderianPSS21},
  cites = {0},
  citedby = {0},
  journal = {SIAM/ASA J. Uncertain. Quantification},
  volume = {9},
  number = {1},
  pages = {163-184},
}