A Journey Beyond The Gaussian World

IF 0.8 Q4 STATISTICS & PROBABILITY Dependence Modeling Pub Date : 2018-12-01 DOI:10.1515/demo-2018-0016
C. Genest, Giovanni Puccetti
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引用次数: 1

Abstract

Harry Joe is Professor of Statistics at the University of British Columbia, Vancouver, Canada. He received an Honors BSc in Mathematics from the University of Victoria in 1978, an MSc in Statistics from the University of British Columbia (UBC) in 1979, and a PhD in Statistics from Florida State University in 1982. He joined UBC as an Assistant Professor in 1982 and was promoted to the ranks of Associate and Full Professor in 1987 and 1993, respectively. He is renowned internationally for his pioneering work in dependence modeling, notably through three books. He has also made signi cant contributions in many other areas, including statistical computing, inference, and time series analysis. He has had successful collaborations in environmetrics, medical genetics and psychometrics. He was the 1995 winner of the Canadian Journal of Statistics Best Paper Award and the 2016 recipient of the Gold Medal for Research from the Statistical Society of Canada. He was John von Neumann Gastprofessur at Technische Universität München in May– June 2011. He has also served the research community in various editorial capacities.
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高斯世界之外的旅程
Harry Joe是加拿大温哥华不列颠哥伦比亚大学的统计学教授。1978年获得维多利亚大学数学荣誉理学学士学位,1979年获得不列颠哥伦比亚大学统计学理学硕士学位,1982年获得佛罗里达州立大学统计学博士学位。他于1982年加入大学中文系担任助理教授,并分别于1987年和1993年晋升为副教授和正教授。他以其在依赖建模方面的开创性工作而闻名于世,尤其是通过三本书。他还在许多其他领域做出了重大贡献,包括统计计算、推理和时间序列分析。他在环境测量学、医学遗传学和心理测量学方面进行了成功的合作。他是1995年《加拿大统计杂志》最佳论文奖得主和2016年加拿大统计学会研究金奖获得者。2011年5月至6月,他是慕尼黑理工大学的约翰·冯·诺伊曼·加斯特教授。他还以各种编辑身份为研究界服务。
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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
期刊最新文献
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