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: | en_US |
| Published: |
Society for Industrial and Applied Mathematics
2014
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| Online Access: | http://hdl.handle.net/1721.1/89469 https://orcid.org/0000-0003-2156-9338 |