{"title":"有条件保持正值的随机游走的克拉梅尔型适度偏差","authors":"Mingyang Sun","doi":"10.1016/j.spl.2024.110258","DOIUrl":null,"url":null,"abstract":"<div><p>We establish a Cramér type moderate deviation for random walks conditioned to stay positive, which gives the relative error for the central limit theorem proved by Iglehart (1974). Unlike the traditional technique of conjugate distributions, our approach is based on the strong approximation between random walks and Brownian motion in the same vein as Grama and Xiao (2021).</p></div>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S016771522400227X/pdfft?md5=33bdbf19368db3b1db5c1e8832523f3f&pid=1-s2.0-S016771522400227X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cramér type moderate deviation for random walks conditioned to stay positive\",\"authors\":\"Mingyang Sun\",\"doi\":\"10.1016/j.spl.2024.110258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We establish a Cramér type moderate deviation for random walks conditioned to stay positive, which gives the relative error for the central limit theorem proved by Iglehart (1974). Unlike the traditional technique of conjugate distributions, our approach is based on the strong approximation between random walks and Brownian motion in the same vein as Grama and Xiao (2021).</p></div>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S016771522400227X/pdfft?md5=33bdbf19368db3b1db5c1e8832523f3f&pid=1-s2.0-S016771522400227X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016771522400227X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016771522400227X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cramér type moderate deviation for random walks conditioned to stay positive
We establish a Cramér type moderate deviation for random walks conditioned to stay positive, which gives the relative error for the central limit theorem proved by Iglehart (1974). Unlike the traditional technique of conjugate distributions, our approach is based on the strong approximation between random walks and Brownian motion in the same vein as Grama and Xiao (2021).
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