确定功能回归模型的独立筛选

Pub Date : 2024-03-19 DOI:10.1080/03610918.2024.2325567
Yuan Yuan, Nedret Billor
{"title":"确定功能回归模型的独立筛选","authors":"Yuan Yuan, Nedret Billor","doi":"10.1080/03610918.2024.2325567","DOIUrl":null,"url":null,"abstract":"Due to rapid advancements in computer technology, high-dimensional, big, and complex data, such as functional data, where observations are considered as curves, have emerged from many applications ...","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sure independent screening for functional regression model\",\"authors\":\"Yuan Yuan, Nedret Billor\",\"doi\":\"10.1080/03610918.2024.2325567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to rapid advancements in computer technology, high-dimensional, big, and complex data, such as functional data, where observations are considered as curves, have emerged from many applications ...\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610918.2024.2325567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610918.2024.2325567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于计算机技术的飞速发展,许多应用领域都出现了高维、大数据和复杂数据,例如将观测值视为曲线的函数数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
分享
查看原文
Sure independent screening for functional regression model
Due to rapid advancements in computer technology, high-dimensional, big, and complex data, such as functional data, where observations are considered as curves, have emerged from many applications ...
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
×
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