Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi
{"title":"厚数据分析（TDA）：算法改进的迭代和归纳框架","authors":"Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi","doi":"10.1080/00031305.2024.2327535","DOIUrl":null,"url":null,"abstract":"A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"21 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement\",\"authors\":\"Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi\",\"doi\":\"10.1080/00031305.2024.2327535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...\",\"PeriodicalId\":50801,\"journal\":{\"name\":\"American Statistician\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Statistician\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/00031305.2024.2327535\",\"RegionNum\":4,\"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":"American Statistician","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/00031305.2024.2327535","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement
A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...
期刊介绍：
Are you looking for general-interest articles about current national and international statistical problems and programs; interesting and fun articles of a general nature about statistics and its applications; or the teaching of statistics? Then you are looking for The American Statistician (TAS), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher''s Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
