{"title":"论高斯过程特征的维纳混沌扩展","authors":"Thomas Cass, Emilio Ferrucci","doi":"10.1007/s00440-023-01255-z","DOIUrl":null,"url":null,"abstract":"<p>We compute the Wiener chaos decomposition of the signature for a class of Gaussian processes, which contains fractional Brownian motion (fBm) with Hurst parameter <span>\\(H \\in (1/4,1)\\)</span>. At level 0, our result yields an expression for the expected signature of such processes, which determines their law (Chevyrev and Lyons in Ann Probab 44(6):4049–4082, 2016). In particular, this formula simultaneously extends both the one for <span>\\(1/2 < H\\)</span>-fBm (Baudoin and Coutin in Stochast Process Appl 117(5):550–574, 2007) and the one for Brownian motion (<span>\\(H = 1/2\\)</span>) (Fawcett 2003), to the general case <span>\\(H > 1/4\\)</span>, thereby resolving an established open problem. Other processes studied include continuous and centred Gaussian semimartingales.</p>","PeriodicalId":20527,"journal":{"name":"Probability Theory and Related Fields","volume":"10 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Wiener chaos expansion of the signature of a Gaussian process\",\"authors\":\"Thomas Cass, Emilio Ferrucci\",\"doi\":\"10.1007/s00440-023-01255-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We compute the Wiener chaos decomposition of the signature for a class of Gaussian processes, which contains fractional Brownian motion (fBm) with Hurst parameter <span>\\\\(H \\\\in (1/4,1)\\\\)</span>. At level 0, our result yields an expression for the expected signature of such processes, which determines their law (Chevyrev and Lyons in Ann Probab 44(6):4049–4082, 2016). In particular, this formula simultaneously extends both the one for <span>\\\\(1/2 < H\\\\)</span>-fBm (Baudoin and Coutin in Stochast Process Appl 117(5):550–574, 2007) and the one for Brownian motion (<span>\\\\(H = 1/2\\\\)</span>) (Fawcett 2003), to the general case <span>\\\\(H > 1/4\\\\)</span>, thereby resolving an established open problem. Other processes studied include continuous and centred Gaussian semimartingales.</p>\",\"PeriodicalId\":20527,\"journal\":{\"name\":\"Probability Theory and Related Fields\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Probability Theory and Related Fields\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s00440-023-01255-z\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Probability Theory and Related Fields","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00440-023-01255-z","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
On the Wiener chaos expansion of the signature of a Gaussian process
We compute the Wiener chaos decomposition of the signature for a class of Gaussian processes, which contains fractional Brownian motion (fBm) with Hurst parameter \(H \in (1/4,1)\). At level 0, our result yields an expression for the expected signature of such processes, which determines their law (Chevyrev and Lyons in Ann Probab 44(6):4049–4082, 2016). In particular, this formula simultaneously extends both the one for \(1/2 < H\)-fBm (Baudoin and Coutin in Stochast Process Appl 117(5):550–574, 2007) and the one for Brownian motion (\(H = 1/2\)) (Fawcett 2003), to the general case \(H > 1/4\), thereby resolving an established open problem. Other processes studied include continuous and centred Gaussian semimartingales.
期刊介绍:
Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.