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arXiv · 2005.07972

Conformal Prediction: a Unified Review of Theory and New Challenges

Matteo Fontana·Gianluca Zeni·Simone Vantini
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Abstract

In this work we provide a review of basic ideas and novel developments about Conformal Prediction -- an innovative distribution-free, non-parametric forecasting method, based on minimal assumptions -- that is able to yield in a very straightforward way predictions sets that are valid in a statistical sense also in in the finite sample case. The in-depth discussion provided in the paper covers the theoretical underpinnings of Conformal Prediction, and then proceeds to list the more advanced developments and adaptations of the original idea.

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BibTeXRIS

Matteo Fontana, Gianluca Zeni, Simone Vantini. 2020-05-16. Conformal Prediction: a Unified Review of Theory and New Challenges. https://doi.org/10.3150/21-bej1447

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