A Conversation With Marc Hallin

IF 1.7 3区 数学 Q1 STATISTICS & PROBABILITY
Christian Genest
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引用次数: 0

Abstract

Marc Hallin was born in Ghent, Belgium, on 23 April 1949. He holds a Licence en Sciences mathématiques (1971), a Licence en Sciences actuarielles (1972), and a Doctorat en Sciences (1976) from the Université libre de Bruxelles. He then rose through the professorial ranks at the same institution, being successively Premier Assistant (1977–1978), Chargé de Cours associé (1978–1984), Chargé de Cours (1984–1988), Professeur ordinaire (1988–2009), and Professeur ordinaire émérite upon retirement in 2009. Throughout his career, he supervised 25 PhD students and held invited positions at many institutions of high standing in Austria, Belgium, England, France, Hong Kong, Italy, Portugal, Spain, Switzerland, and the USA (most notably Princeton). A renown expert in time series analysis, econometrics, and non-parametric inference, Marc is the author or coauthor of over 250 research papers, for which he received numerous awards, including the Medal of the Faculty of Mathematics and Physics of Charles University in Prague (2006), a Humboldt Forschungspreis from the Alexander von Humboldt Foundation (2012), the Pierre-Simon de Laplace Award of the Société française de Statistique (2022), and the Gottfried E. Noether Distinguished Scholar Award of the American Statistical Association (2022). He gave several distinguished lecture series, including the 2017 Hermann Otto Hirschfeld Lecture Series at the Humboldt Universität zu Berlin, and the 2018 Mahalanobis Memorial Lecture at the Indian Statistical Institute. Over the years, he co-edited a dozen books and proceedings, and served on the editorial boards of several journals, including the Journal of Time Series Analysis (1994–2009), the Journal of Econometrics (2013–2019), the Journal of Business and Economic Statistics (2018–), and the Theory and Methods Section of the Journal of the American Statistical Association (2005–). He is a Fellow of the Institute of Mathematical Statistics (1990) and the American Statistical Association (1997), as well as a member of the Classe des Sciences of the Royal Academy of Belgium (1999). Marc has been a member of the International Statistical Institute since 1985 and was (co-) Editor-in-Chief of the International Statistical Review from 2010 to 2015.

Abstract Image

与马克-哈林的对话
马克-哈林于 1949 年 4 月 23 日出生于比利时根特。他拥有布鲁塞尔自由大学数学学士学位(1971 年)、精算学学士学位(1972 年)和科学博士学位(1976 年)。随后,他在同一所大学晋升为教授,先后担任首席助理(1977-1978 年)、助理课程主任(1978-1984 年)、课程主任(1984-1988 年)、普通教授(1988-2009 年),并于 2009 年退休。在他的职业生涯中,他指导了 25 名博士生,并在奥地利、比利时、英国、法国、香港、意大利、葡萄牙、西班牙、瑞士和美国(最著名的是普林斯顿大学)的许多著名机构担任特邀职务。作为时间序列分析、计量经济学和非参数推断领域的知名专家,马克撰写或与人合作撰写了 250 多篇研究论文,并因此获得了众多奖项,包括布拉格查尔斯大学数学和物理学院奖章(2006 年)、亚历山大-冯-洪堡基金会洪堡研究奖(2012 年)、法国统计学会皮埃尔-西蒙-德-拉普拉斯奖(2022 年)和美国统计学会戈特弗里德-诺特杰出学者奖(2022 年)。他举办了多个杰出系列讲座,包括2017年柏林洪堡大学赫尔曼-奥托-赫希菲尔德系列讲座和2018年印度统计研究所马哈拉诺比斯纪念讲座。多年来,他与他人合编了十几本书籍和论文集,并担任多家期刊的编委,包括《时间序列分析期刊》(1994-2009 年)、《计量经济学期刊》(2013-2019 年)、《商业与经济统计期刊》(2018- 年)以及《美国统计协会期刊》理论与方法部分(2005- 年)。他是数学统计研究所(1990 年)和美国统计协会(1997 年)的研究员,也是比利时皇家科学院科学院院士(1999 年)。自 1985 年以来,马克一直是国际统计学会会员,并在 2010 年至 2015 年期间担任《国际统计评论》(联合)主编。
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来源期刊
International Statistical Review
International Statistical Review 数学-统计学与概率论
CiteScore
4.30
自引率
5.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.
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