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Valid prediction intervals for regression problems
April 2, 2024, 7:44 p.m. | Nicolas Dewolf, Bernard De Baets, Willem Waegeman
cs.LG updates on arXiv.org arxiv.org
Abstract: Over the last few decades, various methods have been proposed for estimating prediction intervals in regression settings, including Bayesian methods, ensemble methods, direct interval estimation methods and conformal prediction methods. An important issue is the calibration of these methods: the generated prediction intervals should have a predefined coverage level, without being overly conservative. In this work, we review the above four classes of methods from a conceptual and experimental point of view. Results on benchmark …
abstract arxiv bayesian coverage cs.lg ensemble generated interval issue prediction regression stat.ml type
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