{"title":"A proof and an application of the continuous parameter martingale convergence theorem","authors":"Joe Ghafari","doi":"10.1080/27684520.2023.2261429","DOIUrl":null,"url":null,"abstract":"A proof of the continuous parameter martingale convergence theorem is provided. It relies on a classical martingale inequality and the almost sure convergence of a uniformly bounded non-negative super-martingale. A probabilistic proof of Liouville’s theorem is also presented applying the continuous parameter martingale convergence theorem.","PeriodicalId":200461,"journal":{"name":"Research in Statistics","volume":"210 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/27684520.2023.2261429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A proof of the continuous parameter martingale convergence theorem is provided. It relies on a classical martingale inequality and the almost sure convergence of a uniformly bounded non-negative super-martingale. A probabilistic proof of Liouville’s theorem is also presented applying the continuous parameter martingale convergence theorem.