利用随机投影法测试高维正态向量集的独立性

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY
Dariush Najarzadeh
{"title":"利用随机投影法测试高维正态向量集的独立性","authors":"Dariush Najarzadeh","doi":"10.1080/03610926.2024.2361129","DOIUrl":null,"url":null,"abstract":"A simple test is proposed to test the independence of high-dimensional random normal vectors. The method consists of two steps. First, the primary high-dimensional data is projected onto a low-dime...","PeriodicalId":10531,"journal":{"name":"Communications in Statistics - Theory and Methods","volume":"23 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Testing for independence of sets of high-dimensional normal vectors using random projection approach\",\"authors\":\"Dariush Najarzadeh\",\"doi\":\"10.1080/03610926.2024.2361129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A simple test is proposed to test the independence of high-dimensional random normal vectors. The method consists of two steps. First, the primary high-dimensional data is projected onto a low-dime...\",\"PeriodicalId\":10531,\"journal\":{\"name\":\"Communications in Statistics - Theory and Methods\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Statistics - Theory and Methods\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610926.2024.2361129\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics - Theory and Methods","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610926.2024.2361129","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种测试高维随机正态向量独立性的简单方法。该方法包括两个步骤。首先,将主要的高维数据投影到低维数据上,然后将低维数据投影到高维数据上,最后将高维数据投影到高维随机正...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing for independence of sets of high-dimensional normal vectors using random projection approach
A simple test is proposed to test the independence of high-dimensional random normal vectors. The method consists of two steps. First, the primary high-dimensional data is projected onto a low-dime...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.00
自引率
12.50%
发文量
320
审稿时长
7.5 months
期刊介绍: The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信