论文标题
共形预测：对理论和新挑战的统一回顾
Conformal Prediction: a Unified Review of Theory and New Challenges
论文作者
论文摘要
在这项工作中，我们对基本思想和关于保形预测的新颖发展的回顾 - 基于最低假设的一种创新的，无分布的，非参数预测方法 - 能够以非常简单的方式预测集屈服，在有限的样本中，在统计学上也是有效的。论文中提供的深入讨论涵盖了共形预测的理论基础，然后继续列出原始思想的更高级的发展和改编。
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.
