Approximate Bayesian computation (ABC) and particle MCMC for calibrating computer models
Duration: 23 mins 13 secs
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About this item
| Description: |
Everitt, R
Tuesday 8th September 2020 - 13:50 to 14:10 |
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| Created: | 2020-09-08 21:16 |
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| Collection: | Mathematical and statistical challenges in landscape decision making |
| Publisher: | Isaac Newton Institute |
| Copyright: | Everitt, R |
| Language: | eng (English) |
| Abstract: | This presentation will describe work conducted under two projects in the Landscape Decisions programme. We will outline the role we believe ABC and particle MCMC can play in calibrating landscape models, describe the current state of software being developed to allow other researchers to easily use these methods, and introduce a new technique called "rare event ABC-SMC^2" for using ABC with high-dimensional data. |
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