- Abstract:
-
A mathematical model can be analysed to construct policies for action that are close to optimal for the model. If the model is accurate, such policies will be close to optimal when implemented in the real world. In this paper, the different aspects of an ideal workflow are reviewed: modelling, forecasting, evaluating forecasts, data assimilation and constructing control policies for decision-making. The example of the oil industry is used to motivate the discussion, and other examples, such a...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 333.9KB)
-
- Publisher copy:
- 10.1098/rspa.2017.0115
-
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- Publisher:
- Royal Society Publisher's website
- Journal:
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science Journal website
- Volume:
- 473
- Issue:
- 2200
- Pages:
- 1-17
- Publication date:
- 2017-04-26
- Acceptance date:
- 2017-03-21
- DOI:
- EISSN:
-
1471-2946
- ISSN:
-
1364-5021
- Pubs id:
-
pubs:694029
- URN:
-
uri:be4bade9-2d23-48ea-9882-1467bfbd8093
- UUID:
-
uuid:be4bade9-2d23-48ea-9882-1467bfbd8093
- Local pid:
- pubs:694029
- Copyright holder:
- © 2017 Farmer
- Copyright date:
- 2017
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from Royal Society at: 10.1098/rspa.2017.0115
Journal article
Uncertainty quantification and optimal decisions
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