采访多纳塔斯-苏尔盖里斯

Pub Date : 2023-12-23 DOI:10.1007/s10986-023-09615-x
Viktor Skorniakov
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引用次数: 0

摘要

为纪念立陶宛数学家约纳斯-库比留斯(Jonas Kubilius)、多纳塔斯-苏尔盖里斯(Donatas Surgailis)、安塔纳斯-劳林ˇ西卡斯(Antanas Laurinˇcikas)、尤金尼尤斯-曼斯塔维ˇ西乌斯(Eugenijus Manstaviˇcius)、库比留斯-库比留斯(K˛estutis Kubilius)和阿尔弗雷达斯-拉ˇ克劳斯卡斯(Alfredas Raˇckauskas)诞辰,数论与概率论国际会议于2023年9月11日至15日在帕兰加举行。这是一篇对其中一位欢庆者 D. Surgailis 的访谈文章,他因在随机过程方面的工作而闻名,对长程依赖性、分数积分时间序列、统计推断、空间模型、随机场及其缩放极限等领域很感兴趣。D. Surgailis 是专著《长记忆过程的大样本推断》(Large Sample Inference for Long Memory Processes)的作者,该书于 2012 年由伦敦帝国学院出版社出版(与 Liudas Giraitis 和 Hira L. Koul 合著),他还发表了 150 篇期刊论文。他发表的全部论文可在 http://lma.lt/asmsv/intranetas/index.php?m=profile&user=1577 上查阅。D. Surgailis 曾担任数学与信息学研究所(MII)随机过程系主任。他是立陶宛科学院(LAS)荣誉院士和维尔纽斯大学(VU)荣誉教授。这次访谈于 2023 年 10 月进行,重点是 D. Surgailis 鲜为人知但却引人入胜的个人生活和科学生涯。
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An interview with Donatas Surgailis

The International Conference on Number Theory and Probability Theory took place in Palanga from September 11 to 15, 2023, in commemoration of the anniversaries of Lithuanian mathematicians Jonas Kubilius, Donatas Surgailis, Antanas Laurinˇcikas, Eugenijus Manstaviˇcius, K˛estutis Kubilius, and Alfredas Raˇckauskas. This is an interview article with one the jubilarians, D. Surgailis, known for his work in stochastic processes, with interests in long-range dependence, fractionally integrated time series, statistical inference, spatial models, random fields, and their scaling limits. D. Surgailis is the author of the monograph Large Sample Inference for Long Memory Processes, published by Imperial College Press, London, in 2012 (coauthored with Liudas Giraitis and Hira L. Koul), and 150 journal papers. A complete list of his publications is available on http://lma.lt/asmsv/intranetas/index.php?m=profile&user=1577. D. Surgailis has served as the head of the Department of Random Processes at the Institute of Mathematics and Informatics (MII). He is Member Emeritus of the Lithuanian Academy of Sciences (LAS) and Professor Emeritus at Vilnius University (VU). This interview, conducted in October 2023, focuses on personal aspects of life and scientific career of D. Surgailis, that are less widely known but nonetheless captivating.

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