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Moudiki abstract wording fix
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Abstracts.qmd

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@@ -315,7 +315,7 @@ Frank Hull is a director of data science & analytics, leading a data science tea
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### Abstract
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This work introduces a transfer learning method for probabilistic financial time series forecasting. The model is first trained on synthetic returns exhibiting market stylized facts, using Bayesian-optimized architectural priors. It is then fine-tuned on real data via convex optimization, with prediction intervals generated via moving block bootstrap.
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This work introduces a transfer learning method for probabilistic financial time series forecasting. The model is first trained on synthetic returns exhibiting market stylized facts, using Bayesian-optimized hyperparameters. It is then fine-tuned on real data via convex optimization, with prediction intervals generated via moving block bootstrap.
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Code & Data: (could be modified, but the idea is in there): https://github.com/thierrymoudiki/2025-09-05-transfer-learning-ridge2f
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