Assumptions and efficiency in Gaussian process modelling

Uhrenholt, Anders Kirk (2021) Assumptions and efficiency in Gaussian process modelling. PhD thesis, University of Glasgow.

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Abstract

No abstract available.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Due to confidentiality issues this thesis is not available for viewing.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Colleges/Schools: College of Science and Engineering > School of Computing Science
Supervisor's Name: Jensen, Dr. Bjørn Sand
Date of Award: 2021
Depositing User: Theses Team
Unique ID: glathesis:2021-82442
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 04 Oct 2021 13:38
Last Modified: 20 Jan 2023 16:36
Thesis DOI: 10.5525/gla.thesis.82442
URI: https://theses.gla.ac.uk/id/eprint/82442

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