{"title":"通过自然典型阈值进行切片反回归","authors":"Nadia Asrir, Abdallah Mkhadri","doi":"10.1080/03610926.2024.2360659","DOIUrl":null,"url":null,"abstract":"In a moderate or high-dimensional framework, the sliced inverse regression (SIR) method requires the inversion of the empirical covariance matrix which yields numerical problems in estimating the c...","PeriodicalId":10531,"journal":{"name":"Communications in Statistics - Theory and Methods","volume":"34 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sliced inverse regression via natural canonical thresholding\",\"authors\":\"Nadia Asrir, Abdallah Mkhadri\",\"doi\":\"10.1080/03610926.2024.2360659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a moderate or high-dimensional framework, the sliced inverse regression (SIR) method requires the inversion of the empirical covariance matrix which yields numerical problems in estimating the c...\",\"PeriodicalId\":10531,\"journal\":{\"name\":\"Communications in Statistics - Theory and Methods\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2024-07-03\",\"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/10.1080/03610926.2024.2360659\",\"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/10.1080/03610926.2024.2360659","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Sliced inverse regression via natural canonical thresholding
In a moderate or high-dimensional framework, the sliced inverse regression (SIR) method requires the inversion of the empirical covariance matrix which yields numerical problems in estimating the c...
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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.
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