Bayesian calibration, history matching and model discrepancy
59 mins 16 secs,
862.66 MB,
MPEG-4 Video
640x360,
29.97 fps,
44100 Hz,
1.94 Mbits/sec
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About this item
| Description: |
Oakley, J
Thursday 12th April 2018 - 09:00 to 10:00 |
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| Created: | 2018-04-13 15:26 |
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| Collection: | Uncertainty quantification for complex systems: theory and methodologies |
| Publisher: | Isaac Newton Institute |
| Copyright: | Oakley, J |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Bayesian calibration and history matching are both well established tools for solving inverse problems: finding model inputs to make model outputs match observed data as closely as possible. I will discuss and compare both, within the context of decision-making. I will discuss the sometimes contentious issue of model discrepancy: how and whether we might account for an imperfect or misspecified model within the inference procedure. I will also present some work on history matching of a high dimensional individual based HIV transmission model (joint work with I. Andrianakis, N. McCreesh, I. Vernon, T. J. McKinley, R. N. Nsubuga, M. Goldstein and R. J. White). |
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| MPEG-4 Video * | 640x360 | 1.94 Mbits/sec | 862.66 MB | View | Download | |
| WebM | 640x360 | 485.92 kbits/sec | 210.99 MB | View | Download | |
| iPod Video | 480x270 | 522.2 kbits/sec | 226.68 MB | View | Download | |
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