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  • 标题:A topological proof of Sklar’s theorem in arbitrary dimensions
  • 本地全文:下载
  • 作者:Fred Espen Benth ; Giulia Di Nunno ; Dennis Schroers
  • 期刊名称:Dependence Modeling
  • 电子版ISSN:2300-2298
  • 出版年度:2022
  • 卷号:10
  • 期号:1
  • 页码:22-28
  • DOI:10.1515/demo-2022-0103
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:Copulas are appealing tools in multivariate probability theory and statistics. Nevertheless, the transfer of this concept to infinite dimensions entails some nontrivial topological and functional analytic issues, making a deeper theoretical understanding indispensable toward applications. In this short work, we transfer the well-known property of compactness of the set of copulas in finite dimensions to the infinite-dimensional framework. As an application, we prove Sklar’s theorem in infinite dimensions via a topological argument and the notion of inverse systems.
  • 关键词:Copulas;Sklar’s theorem;topological inverse limits;infinite dimensions;compactness
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