Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models.
Andrea ManzoniStefano PaganiToni LassilaPublished in: SIAM/ASA J. Uncertain. Quantification (2016)
Keyphrases
- statistical models
- methods can be applied
- accurate models
- difficult problems
- preprocessing
- iterative methods
- numerical algorithms
- analytical methods
- error measure
- statistical inference
- practical problems
- numerical methods
- mathematical models
- error bounds
- machine learning algorithms
- significant improvement
- bayesian framework
- iterative algorithms
- decision problems
- cross validation
- error rate
- bayesian networks