{"title":"复辩手:最佳子集,前进逐步还是拉索?基于广泛比较的分析和建议","authors":"T. Hastie, R. Tibshirani, R. Tibshirani","doi":"10.1214/20-sts733rej","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51172,"journal":{"name":"Statistical Science","volume":"35 1","pages":"579-592"},"PeriodicalIF":3.9000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Rejoinder: Best Subset, Forward Stepwise or Lasso? Analysis and Recommendations Based on Extensive Comparisons\",\"authors\":\"T. Hastie, R. Tibshirani, R. Tibshirani\",\"doi\":\"10.1214/20-sts733rej\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":51172,\"journal\":{\"name\":\"Statistical Science\",\"volume\":\"35 1\",\"pages\":\"579-592\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Science\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1214/20-sts733rej\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Science","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1214/20-sts733rej","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
期刊介绍:
The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.