{"title":"Asymptotic properties for quadratic functionals of linear self-repelling diffusion process and applications","authors":"Yajuan Pan, Hui Jiang","doi":"10.1080/07362994.2021.1950013","DOIUrl":null,"url":null,"abstract":"ABSTRACT In this article, for some quadratic functionals of linear self-repelling diffusion process, we study the asymptotic properties, including the deviation inequalities and Cramér-type moderate deviations. The main methods consist of the deviation inequalities for multiple Wiener-Itô integrals, as well as the asymptotic analysis techiniques. As applications, (self-normalized) Cramér-type moderate deviations for the log-likelihood ratio process and drift parameter estimator are obtained.","PeriodicalId":49474,"journal":{"name":"Stochastic Analysis and Applications","volume":"40 1","pages":"691 - 713"},"PeriodicalIF":0.8000,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/07362994.2021.1950013","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/07362994.2021.1950013","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT In this article, for some quadratic functionals of linear self-repelling diffusion process, we study the asymptotic properties, including the deviation inequalities and Cramér-type moderate deviations. The main methods consist of the deviation inequalities for multiple Wiener-Itô integrals, as well as the asymptotic analysis techiniques. As applications, (self-normalized) Cramér-type moderate deviations for the log-likelihood ratio process and drift parameter estimator are obtained.
期刊介绍:
Stochastic Analysis and Applications presents the latest innovations in the field of stochastic theory and its practical applications, as well as the full range of related approaches to analyzing systems under random excitation. In addition, it is the only publication that offers the broad, detailed coverage necessary for the interfield and intrafield fertilization of new concepts and ideas, providing the scientific community with a unique and highly useful service.