{"title":"Leo Breiman的挑战:回顾","authors":"D. Banks","doi":"10.1353/obs.2021.0017","DOIUrl":null,"url":null,"abstract":"Abstract:Breiman led the way in thinking differently about statistics. Many of his iconoclastic ideas have become standard in the data science sphere. This discussion argues for some rebalancing, while gratefully acknowledging his achievements.","PeriodicalId":74335,"journal":{"name":"Observational studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1353/obs.2021.0017","citationCount":"0","resultStr":"{\"title\":\"Leo Breiman's Challenge: A Retrospective\",\"authors\":\"D. Banks\",\"doi\":\"10.1353/obs.2021.0017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract:Breiman led the way in thinking differently about statistics. Many of his iconoclastic ideas have become standard in the data science sphere. This discussion argues for some rebalancing, while gratefully acknowledging his achievements.\",\"PeriodicalId\":74335,\"journal\":{\"name\":\"Observational studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1353/obs.2021.0017\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Observational studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1353/obs.2021.0017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Observational studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/obs.2021.0017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract:Breiman led the way in thinking differently about statistics. Many of his iconoclastic ideas have become standard in the data science sphere. This discussion argues for some rebalancing, while gratefully acknowledging his achievements.
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