{"title":"使用序数纵向数据的贝叶斯相对综合量子回归和一些案例研究","authors":"Yu-Zhu Tian, Chun-Ho Wu, Man-Lai Tang, Mao-Zai Tian","doi":"10.1080/00949655.2024.2335399","DOIUrl":null,"url":null,"abstract":"In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with...","PeriodicalId":50040,"journal":{"name":"Journal of Statistical Computation and Simulation","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bayesian relative composite quantile regression with ordinal longitudinal data and some case studies\",\"authors\":\"Yu-Zhu Tian, Chun-Ho Wu, Man-Lai Tang, Mao-Zai Tian\",\"doi\":\"10.1080/00949655.2024.2335399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with...\",\"PeriodicalId\":50040,\"journal\":{\"name\":\"Journal of Statistical Computation and Simulation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Statistical Computation and Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/00949655.2024.2335399\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Computation and Simulation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/00949655.2024.2335399","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Bayesian relative composite quantile regression with ordinal longitudinal data and some case studies
In real applied fields such as clinical medicine, environmental sciences, psychology as well as economics, we often encounter the task of conducting statistical inference for longitudinal data with...
期刊介绍：
Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer.
Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems.
JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented.
Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.
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