Winter Workshop on Frontiers of Theoretical Statistics

理论统计前沿冬季研讨会

• 批准号: 0536938
• 负责人: A. Khuri
• 金额: $ 1万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-12-01 至 2006-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0536938&HistoricalAwards=false
• 关键词: Winter; Workshop; Frontiers; Theoretical; Statistics

Abstract:The workshop "Frontiers of Theoretical Statistics" is dedicated to exploring the most recent developments in the theory of statistics. These include saddlepoint approximation, generalized linear mixed models, bootstrap techniques, Markov chain Monte Carlo methods, Bayesian inference, and combinatorial optimization, among others. The workshop will provide an assessment of the current state of knowledge of theoretical statistics, identify the most pressing needs for future developments, and foster cooperation among research workers. The 12 invited workshop speakers are well-known leaders in theoretical statistics. They include Jim Berger (Duke University), Peter Bickel (University of California at Berkeley), Ronald Butler (Colorado State University), R. Dennis Cook (University of Minnesota), Jim Fill (Johns Hopkins University), Peter McCullagh (University of Chicago), Susan Murphy (University of Michigan), Nancy Reid (University of Toronto), Christian Robert (Ceremade University, Paris, France), Michael Steele (University of Pennsylvania), Steven Stigler (University of Chicago), and Bin Yu (University of California at Berkeley). The workshop will be hosted by the University of Florida Department of Statistics, and will be held at the J. Wayne Reitz Union of the University of Florida duringthe period January 13-14, 2006.Theoretical statistics is the foundation upon which all statistical methodologies and applications are based. Many recent advances in science, such as in biological and medical sciences, physical and engineering sciences, are intimately connected to advanced statistical and computational procedures. Some of the goals of the workshop are:(a) To identify some of the major scientific questions and challenges in the field of theoretical statistics that can only be studied through interactive research. Focusing on such problems and trying to answer them will contribute to science and humanity in a significant way.(b) To provide support to new researchers by bringing them in contact with experienced statisticians. The 12 invited senior speakers are leading authorities on many aspects of theoretical statistics. Their participation in the workshop will undoubtedly help in inspiring and motivating the young researchers.(c) To provide a platform for new collaborations on theoretical statistics and its many related areas.(d) Given the growing interest in finding immediate and direct applications of theoretical statistics, the workshop will provide an impetus to permeate new ideas in this direction.

摘要：“理论统计前沿”研讨会致力于探索统计理论的最新发展。其中包括鞍点近似、广义线性混合模型、引导技术、马尔可夫链蒙特卡罗方法、贝叶斯推理和组合优化等。该研讨会将对理论统计知识的现状进行评估，确定未来发展最迫切的需求，并促进研究工作者之间的合作。受邀的 12 位研讨会演讲嘉宾都是理论统计学领域的知名领袖。他们包括 Jim Berger（杜克大学）、Peter Bickel（加州大学伯克利分校）、Ronald Butler（科罗拉多州立大学）、R. Dennis Cook（明尼苏达大学）、Jim Fill（约翰霍普金斯大学）、Peter McCullagh（科罗拉多大学）芝加哥）、Susan Murphy（密歇根大学）、Nancy Reid（多伦多大学）、Christian Robert（法国巴黎 Ceremade 大学）、Michael Steele（宾夕法尼亚大学）、Steven Stigler（芝加哥大学）和 Bin Yu（加州大学伯克利分校）。该研讨会由佛罗里达大学统计系主办，将于2006年1月13日至14日在佛罗里达大学J. Wayne Reitz Union举行。理论统计是所有统计方法论和统计方法的基础。应用程序是基于。科学领域的许多最新进展，例如生物科学和医学科学、物理科学和工程科学，都与先进的统计和计算程序密切相关。讲习班的一些目标是：(a) 确定理论统计领域只能通过互动研究才能研究的一些主要科学问题和挑战。关注这些问题并试图回答它们将对科学和人类做出重大贡献。(b) 通过让新研究人员与经验丰富的统计学家接触来为他们提供支持。受邀的 12 位资深演讲者都是理论统计许多方面的权威权威。他们参加研讨会无疑将有助于激励和激励年轻的研究人员。(c) 为理论统计学及其许多相关领域的新合作提供一个平台。(d) 鉴于人们对寻找理论统计的即时和直接应用的兴趣日益浓厚据统计，研讨会将为这一方向的新思想渗透提供动力。