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Neural stochastic differential equations (SDEs) represent a significant advancement in the field of machine learning by combining the power of neural networks and SDEs, two influential modelling approaches. SDEs are used to model systems that exhibit randomness or uncertainty and are defined by a se...
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| Format: | Thesis |
| Language: | Eng |
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Department of Finance and Tax
2024
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