{"title":"正规化动态逻辑回归的高效估计和选择","authors":"Sumin Shen, Zhiyang Zhang, Ran Jin, Xinwei Deng","doi":"10.1080/24725854.2024.2359991","DOIUrl":null,"url":null,"abstract":"In various data science applications, the relationship between predictor variables and the response is dynamic in the sense that the corresponding model parameters are varying coefficients. Estimat...","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Estimation and Selection for Regularized Dynamic Logistic Regression\",\"authors\":\"Sumin Shen, Zhiyang Zhang, Ran Jin, Xinwei Deng\",\"doi\":\"10.1080/24725854.2024.2359991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In various data science applications, the relationship between predictor variables and the response is dynamic in the sense that the corresponding model parameters are varying coefficients. Estimat...\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/24725854.2024.2359991\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/24725854.2024.2359991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Efficient Estimation and Selection for Regularized Dynamic Logistic Regression
In various data science applications, the relationship between predictor variables and the response is dynamic in the sense that the corresponding model parameters are varying coefficients. Estimat...
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