{"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}
引用次数: 0
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...