{"title":"统计建模：回归本源","authors":"Qingyuan Zhao","doi":"10.1353/obs.2021.0014","DOIUrl":null,"url":null,"abstract":"Abstract:Leo Breiman's \"Statistical Modeling: The Two Cultures\" is a treasure for any statistician who engages with real world problem. I argue that there is a more fundamental dichotomy between the principles of statistical modeling and the techniques for statistical modeling. Focusing entirely on the techniques in statistical education and research can be dangerous. I join Breiman's call for statistics to return to its roots.","PeriodicalId":74335,"journal":{"name":"Observational studies","volume":"7 1","pages":"229 - 234"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1353/obs.2021.0014","citationCount":"1","resultStr":"{\"title\":\"Statistical Modeling: Returning to its Roots\",\"authors\":\"Qingyuan Zhao\",\"doi\":\"10.1353/obs.2021.0014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract:Leo Breiman's \\\"Statistical Modeling: The Two Cultures\\\" is a treasure for any statistician who engages with real world problem. I argue that there is a more fundamental dichotomy between the principles of statistical modeling and the techniques for statistical modeling. Focusing entirely on the techniques in statistical education and research can be dangerous. I join Breiman's call for statistics to return to its roots.\",\"PeriodicalId\":74335,\"journal\":{\"name\":\"Observational studies\",\"volume\":\"7 1\",\"pages\":\"229 - 234\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1353/obs.2021.0014\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Observational studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1353/obs.2021.0014\",\"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.2021.0014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract:Leo Breiman's "Statistical Modeling: The Two Cultures" is a treasure for any statistician who engages with real world problem. I argue that there is a more fundamental dichotomy between the principles of statistical modeling and the techniques for statistical modeling. Focusing entirely on the techniques in statistical education and research can be dangerous. I join Breiman's call for statistics to return to its roots.
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