任意分布高维数据的广义预测区间
Generalized Prediction Intervals for Arbitrary Distributed High-Dimensional Data
Technische Universität Berlin（柏林工业大学）
摘要：
本文通过引入显著性水平分布，推广了高维特征空间中任意概率密度函数的预测区间的传统统计概念。显著性水平分布为连续随机变量提供了与区间无关的概率。将概率密度函数变换为显著性水平分布的优点在于，它能够以直接的方式进行单类分类或离群值检测。
英文摘要：
This paper generalizes the traditional statistical concept of prediction intervals for arbitrary probability density functions in high-dimensional feature spaces by introducing significance level distributions, which provides interval-independent probabilities for continuous random variables. The advantage of the transformation of a probability density function into a significance level distribution is that it enables one-class classification or outlier detection in a direct manner.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
