{"title":"对“稀疏充分降维的回顾”的评论","authors":"M. Power, Yuexiao Dong","doi":"10.1080/24754269.2020.1829394","DOIUrl":null,"url":null,"abstract":"We congratulate the authors on a very interesting overview of sparse sufficient dimension reduction (SDR). Sparse SDR methods are discussed in both the classical n>p setting as well as the high-dim...","PeriodicalId":22070,"journal":{"name":"Statistical Theory and Related Fields","volume":"4 1","pages":"149 - 150"},"PeriodicalIF":0.7000,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/24754269.2020.1829394","citationCount":"0","resultStr":"{\"title\":\"Comment on ‘Review of sparse sufficient dimension reduction’\",\"authors\":\"M. Power, Yuexiao Dong\",\"doi\":\"10.1080/24754269.2020.1829394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We congratulate the authors on a very interesting overview of sparse sufficient dimension reduction (SDR). Sparse SDR methods are discussed in both the classical n>p setting as well as the high-dim...\",\"PeriodicalId\":22070,\"journal\":{\"name\":\"Statistical Theory and Related Fields\",\"volume\":\"4 1\",\"pages\":\"149 - 150\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2020-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/24754269.2020.1829394\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Theory and Related Fields\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/24754269.2020.1829394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Theory and Related Fields","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/24754269.2020.1829394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Comment on ‘Review of sparse sufficient dimension reduction’
We congratulate the authors on a very interesting overview of sparse sufficient dimension reduction (SDR). Sparse SDR methods are discussed in both the classical n>p setting as well as the high-dim...
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