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) |
|---|---|---|
| 2024 | Predicting directions of S&P 500 using AI & ML models | Sakaria, Suraj |
| 2024 | Optimal execution for a risk-averse trader | Hesse, Adam Nii Armah |
| 2025 | Non-parametric probabilistic machine learning methodologies suited to real-world data | Roy, Gargi |
| 2024 | New control variates for pricing basket and Asian options | Jipreze, Kam |
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- 12 2020 - 2025
- 169 2010 - 2019
- 303 2000 - 2009
- 132 1990 - 1999
- 149 1980 - 1989
- 79 1971 - 1979