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On the effect of parametric uncertainty in Gaussian Processes applied to geostatistical estimation: an in-silico case study

Deussen, Philipp; Galvanin, Federico; (2022) On the effect of parametric uncertainty in Gaussian Processes applied to geostatistical estimation: an in-silico case study. Presented at: Sargent Centre Industrial Consortium Members Annual Meeting 2022, London, UK. Green open access

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Type: Poster
Title: On the effect of parametric uncertainty in Gaussian Processes applied to geostatistical estimation: an in-silico case study
Event: Sargent Centre Industrial Consortium Members Annual Meeting 2022
Location: London, UK
Dates: 2022
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.imperial.ac.uk/process-systems-enginee...
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10172660
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