Conformal Prediction Bands for Two-Dimensional Functional Time Series
@inproceedings{Ajroldi2022ConformalPB, title={Conformal Prediction Bands for Two-Dimensional Functional Time Series}, author={Niccolo Ajroldi and Jacopo Diquigiovanni and Matteo Fontana and Simone Vantini}, year={2022} }
Conformal Prediction (CP) is a versatile nonparametric framework used to quantify uncertainty in prediction problems. In this work, we provide an extension of such method to the case of time series of functions defined on a bivariate domain, by proposing for the first time a distribution-free technique which can be applied to time-evolving surfaces. In order to obtain meaningful and efficient prediction regions, CP must be coupled with an accurate forecasting algorithm, for this reason, we extend…
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