对Leo Breiman“统计建模:两种文化”(2001)的因果有色思考

J. Pearl
{"title":"对Leo Breiman“统计建模:两种文化”(2001)的因果有色思考","authors":"J. Pearl","doi":"10.1353/obs.2021.0008","DOIUrl":null,"url":null,"abstract":"Abstract:This note provides a re-assessment of Breiman's contributions to the art of statistical modeling, in light of recent advances in machine learning and causal inference. It highlights the crisp separation between the data-fitting and data-interpretation components of statistical modeling.","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.2021.0008","citationCount":"1","resultStr":"{\"title\":\"Causally Colored Reflections on Leo Breiman's \\\"Statistical Modeling: The Two Cultures\\\" (2001)\",\"authors\":\"J. Pearl\",\"doi\":\"10.1353/obs.2021.0008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract:This note provides a re-assessment of Breiman's contributions to the art of statistical modeling, in light of recent advances in machine learning and causal inference. It highlights the crisp separation between the data-fitting and data-interpretation components of statistical modeling.\",\"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.2021.0008\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Observational studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1353/obs.2021.0008\",\"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.2021.0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

摘要:根据机器学习和因果推理的最新进展,本说明重新评估了Breiman对统计建模艺术的贡献。它强调了统计建模的数据拟合和数据解释组件之间的清晰分离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Causally Colored Reflections on Leo Breiman's "Statistical Modeling: The Two Cultures" (2001)
Abstract:This note provides a re-assessment of Breiman's contributions to the art of statistical modeling, in light of recent advances in machine learning and causal inference. It highlights the crisp separation between the data-fitting and data-interpretation components of statistical modeling.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信