New Methods in Bayesian Design for Monitoring Submerged Shoals Off the Coast of Western Australia
De Silva, Dilishiya (2025) New Methods in Bayesian Design for Monitoring Submerged Shoals Off the Coast of Western Australia. PhD thesis, Queensland University of Technology.
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Description
This PhD thesis develops advanced statistical methods within a Bayesian design framework to enable deeper parts of reefs to be efficiently and effectively monitored. This research addresses three main objectives: (1) Develop model-robust Bayesian design methods to optimise sampling under model uncertainty; (2) Advance Bayesian design in spatio-temporal settings via variational approximations for efficient computation; and (3) Develop a framework to leverage information from data-rich reefs to monitor data-poor reefs. Collectively, these contributions to the Bayesian design literature enable robust and efficient designs to be found and used for sustainable monitoring and management of our deeper reef ecosystems.
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| ID Code: | 261424 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | McGree, James, Thompson, Mery, & Fisher, Rebecca |
| Keywords: | Ecological monitoring, Generalised additive models, Mean field variational Bayes, Model-robust designs, Model transferability, Spatio-temporal modelling, Spatio-temporal designs, Transect design, Utility functions, Variational inference |
| DOI: | 10.5204/thesis.eprints.261424 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences |
| Institution: | Queensland University of Technology |
| Deposited On: | 24 Nov 2025 15:50 |
| Last Modified: | 02 Dec 2025 16:33 |
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