基于图论的非参数高维多样本检验

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-05-21 DOI:10.1080/10618600.2024.2358156

Xiaoping Shi

引用次数: 0

摘要

在数据量不断增加的时代，高维数据对数据处理提出了独特的挑战。图论可以提供高维数据的结构。我们介绍了图论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Nonparametric high-dimensional multi-sample tests based on graph theory

High-dimensional data pose unique challenges for data processing in an era of ever-increasing amounts of data availability. Graph theory can provide a structure of high-dimensional data. We introdu...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.