Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model | Tucker, A; Trifonova, N; Maxwell, D; Pinnegar, J; Kenny, A |
| 2016 | A Bayesian Belief Network to assess rate of changes in coral reef ecosystems | Franco, C; Hepburn, LA; Smith, DJ; Nimrod, S; Tucker, A |
| 1-Sep-2021 | Bayesboost: Identifying and Handling Bias Using Synthetic Data Generators | Draghi, B; Wang, Z; Myles, P; Tucker, A |