{"title":"部分线性变系数空间自回归模型的贝叶斯估计","authors":"Ruiqin Tian, Dengke Xu, Jiang Du, Junfei Zhang","doi":"10.4310/21-SII682","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51230,"journal":{"name":"Statistics and Its Interface","volume":"15 1","pages":"105-113"},"PeriodicalIF":0.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Bayesian estimation for partially linear varying coefficient spatial autoregressive models\",\"authors\":\"Ruiqin Tian, Dengke Xu, Jiang Du, Junfei Zhang\",\"doi\":\"10.4310/21-SII682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":51230,\"journal\":{\"name\":\"Statistics and Its Interface\",\"volume\":\"15 1\",\"pages\":\"105-113\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistics and Its Interface\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.4310/21-SII682\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics and Its Interface","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.4310/21-SII682","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
期刊介绍:
Exploring the interface between the field of statistics and other disciplines, including but not limited to: biomedical sciences, geosciences, computer sciences, engineering, and social and behavioral sciences. Publishes high-quality articles in broad areas of statistical science, emphasizing substantive problems, sound statistical models and methods, clear and efficient computational algorithms, and insightful discussions of the motivating problems.