Nonlinear Goal-Oriented Bayesian Inference: Application to Carbon Capture and Storage
In many engineering problems, unknown parameters of a model are inferred in order to make predictions, to design controllers, or to optimize the model. When parameters are distributed (continuous) or very high-dimensional (discrete) and quantities of interest are low-dimensional, parameters need not...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Society for Industrial and Applied Mathematics,
2014-09-12T17:47:16Z.
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| Subjects: | |
| Online Access: | Get fulltext |