{"title":"高维回归中不同方法的状态方程的等效性","authors":"Saidi Luo, Songtao Tian","doi":"10.1080/03610926.2024.2322616","DOIUrl":null,"url":null,"abstract":"State equations (SEs) were first introduced in the approximate message passing process to describe the mean square error in compressed sensing. Since then a set of state equations has appeared in s...","PeriodicalId":10531,"journal":{"name":"Communications in Statistics - Theory and Methods","volume":"28 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Equivalence of state equations from different methods in high-dimensional regression\",\"authors\":\"Saidi Luo, Songtao Tian\",\"doi\":\"10.1080/03610926.2024.2322616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"State equations (SEs) were first introduced in the approximate message passing process to describe the mean square error in compressed sensing. Since then a set of state equations has appeared in s...\",\"PeriodicalId\":10531,\"journal\":{\"name\":\"Communications in Statistics - Theory and Methods\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-03-18\",\"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/10.1080/03610926.2024.2322616\",\"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/10.1080/03610926.2024.2322616","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Equivalence of state equations from different methods in high-dimensional regression
State equations (SEs) were first introduced in the approximate message passing process to describe the mean square error in compressed sensing. Since then a set of state equations has appeared in s...
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.