绅士共议主义者

IF 0.6 Q4 STATISTICS & PROBABILITY
C. Genest, M. Scherer
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引用次数: 1

摘要

Carlo Sempi是意大利莱切萨伦托大学数学和物理系的教授。他曾在帕维亚大学学习数学(1970年在菲西卡的Laurea)和滑铁卢大学(加拿大安大略省),并于1974年10月获得博士学位。随后,他以代理教授的身份加入了现在的研究所,并于2000年成为代理教授。他是copulas理论的早期贡献者,并一直活跃到今天。他是超过125篇研究文章的作者或合著者,这些文章涉及分析、概率度量空间、连线图和许多相关概念,如半连线图、拟连线图和离散连线图的各个方面。他还与他的前博士生fabriziodurte共同撰写了《Copula理论原理》一书,该书于2015年由Chapman & Hall出版。他是一个国际化的、通晓多种语言的人,以各种方式为依赖建模社区服务,特别是通过组织2009年纪念Abe Sklar开创性论文发表50周年的会议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The gentleman copulist
Carlo Sempi is a professor in the Department of Mathematics and Physics at the Università degli Studi del Salento in Lecce, Italy. He studied mathematics at the Università degli Studi di Pavia (Laurea in Fisica, 1970) and at the University of Waterloo (Ontario, Canada), where he completed his PhD in October 1974. He then joined his current institution as professore incaricato and became professore straordinario in 2000. He was an early contributor to the theory of copulas andhas remained active to this day. He is the author or coauthor of over 125 research articles on various aspects of analysis, probabilistic metric spaces, copulas, and many related notions such as semi-copulas, quasi-copulas, anddiscrete copulas.Withhis formerPhDstudent FabrizioDurante, he also coauthored the book “Principles of Copula Theory” published by Chapman & Hall in 2015. A cosmopolitan and polyglot, he served the dependence modeling community in various ways, notably through the organization of the 2009 meeting marking the 50th anniversary of Abe Sklar’s seminal paper.
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来源期刊
Dependence Modeling
Dependence Modeling STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to):  -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
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