Visualisation for large-scale Gaussian updates
In geostatistics and also in other applications in science and engineering, it is now common to perform updates on Gaussian process models with many thousands or even millions of components. These large-scale inferences involve modelling, representational and computational challenges. We describe a...
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ftunivwollongong:oai:ro.uow.edu.au:eispapers-7641 2023-05-15T13:58:42+02:00 Visualisation for large-scale Gaussian updates Rougier, Jonathon Zammit-Mangion, Andrew 2016-01-01T08:00:00Z application/pdf https://ro.uow.edu.au/eispapers/6611 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7641&context=eispapers unknown Research Online https://ro.uow.edu.au/eispapers/6611 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7641&context=eispapers Faculty of Engineering and Information Sciences - Papers: Part A visualisation updates gaussian large-scale Engineering Science and Technology Studies article 2016 ftunivwollongong 2020-02-25T11:37:20Z In geostatistics and also in other applications in science and engineering, it is now common to perform updates on Gaussian process models with many thousands or even millions of components. These large-scale inferences involve modelling, representational and computational challenges. We describe a visualization tool for large-scale Gaussian updates, the 'medal plot'. The medal plot shows the updated uncertainty at each observation location and also summarizes the sharing of information across observations, as a proxy for the sharing of information across the state vector (or latent process). As such, it reflects characteristics of both the observations and the statistical model.We illustrate with an application to assess mass trends in the Antarctic Ice Sheet, for which there are strong constraints from the observations and the physics. Article in Journal/Newspaper Antarc* Antarctic Ice Sheet University of Wollongong, Australia: Research Online Antarctic The Antarctic |
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Open Polar |
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University of Wollongong, Australia: Research Online |
op_collection_id |
ftunivwollongong |
language |
unknown |
topic |
visualisation updates gaussian large-scale Engineering Science and Technology Studies |
spellingShingle |
visualisation updates gaussian large-scale Engineering Science and Technology Studies Rougier, Jonathon Zammit-Mangion, Andrew Visualisation for large-scale Gaussian updates |
topic_facet |
visualisation updates gaussian large-scale Engineering Science and Technology Studies |
description |
In geostatistics and also in other applications in science and engineering, it is now common to perform updates on Gaussian process models with many thousands or even millions of components. These large-scale inferences involve modelling, representational and computational challenges. We describe a visualization tool for large-scale Gaussian updates, the 'medal plot'. The medal plot shows the updated uncertainty at each observation location and also summarizes the sharing of information across observations, as a proxy for the sharing of information across the state vector (or latent process). As such, it reflects characteristics of both the observations and the statistical model.We illustrate with an application to assess mass trends in the Antarctic Ice Sheet, for which there are strong constraints from the observations and the physics. |
format |
Article in Journal/Newspaper |
author |
Rougier, Jonathon Zammit-Mangion, Andrew |
author_facet |
Rougier, Jonathon Zammit-Mangion, Andrew |
author_sort |
Rougier, Jonathon |
title |
Visualisation for large-scale Gaussian updates |
title_short |
Visualisation for large-scale Gaussian updates |
title_full |
Visualisation for large-scale Gaussian updates |
title_fullStr |
Visualisation for large-scale Gaussian updates |
title_full_unstemmed |
Visualisation for large-scale Gaussian updates |
title_sort |
visualisation for large-scale gaussian updates |
publisher |
Research Online |
publishDate |
2016 |
url |
https://ro.uow.edu.au/eispapers/6611 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7641&context=eispapers |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_source |
Faculty of Engineering and Information Sciences - Papers: Part A |
op_relation |
https://ro.uow.edu.au/eispapers/6611 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7641&context=eispapers |
_version_ |
1766267053387284480 |