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Conformal prediction and beyond

Thesis and presentation on conformal prediction carried out as part of (UB 2023) MSc thesis work. Throughout this work, uncertainty quantification for distribution-free and data-agnostic problems is applied in terms of conformal prediction (CP) methodologies. In particular, this is applied to regression problems involving both exchangeable and time-series data.

Note this repository deploys a GitHub page which hosts both the thesis and the presentation. For the details on the code implementation, the reader can refer to this author's repository.