Clifford Conference

克利福德会议

• 批准号: 9803801
• 负责人: Jian-Jian Ren
• 金额: $ 0.5万
• 依托单位: Tulane University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9803801&HistoricalAwards=false
• 关键词: Clifford; Conference

----------------------------------------------------------------------- Proposal Number: DMS 9803801 PI: Jian-Jian Ren Institution: Tulane University Project: The Clifford Conference Abstract: The 1998 Clifford Lecture and Conference, which will take place in October of 1998 at Tulane University. The 1998 Clifford Lecturer is Professor Peter Bickel of University of California - Berkeley, who will give a series of 3 lecturers on "The Method of Sieves in Non- and Semiparametric Statistics". During the conference, there will be 10-15 invited speakers giving talks related to Professor Bickel's main lectures. These lectures and talks will: (a) compare and contrast the fields by examples, discuss how bootstrap methodology fits into this framework, introduce the method of sieves; (b) discuss and review various applications of the method of sieves to function estimation, Haar wavelet based tests, AR sieve bootstrap, and more general use of orthonormal based or families of bases or atoms in density estimation and other contexts; (c) discuss the relation of the method of sieves to model selection and the great challenge: Selecting Tuning Parameters. The 1998 Clifford Lecture and Conference will provide a unique opportunity for researchers to meet and discuss the current issues in statistical theory and practice. This is particularly beneficial to junior researchers, graduate students and faculty from southern universities in or near Louisiana.

- 建议编号：DMS 9803801 PI： Jian-Jian Ren机构： 杜兰大学项目： 克利福德会议 摘要： 1998年克利福德讲座和会议将于 1998年10月在杜兰大学。 1998年Clifford讲师是 加州-伯克利大学的彼得·比克尔教授， 将给一系列的3讲师“筛的方法在非- 半参数统计”。 会议期间，将 10-15名受邀演讲者与Bickel教授的主要讲座有关。 这些讲座和讲座将： (a)通过实例比较和对比字段，讨论如何 bootstrap方法适合这个框架，介绍 筛分法; (b)讨论和审查各种应用的方法， 函数估计的筛选，Haar小波检验，AR筛选 bootstrap，以及基于或族的标准正交的更一般的使用 在密度估计和其他方面的基础或原子; (c)讨论了筛法与模型的关系 选择和巨大的挑战：选择调谐参数。 1998年克利福德讲座和会议将为研究人员提供一个独特的机会，以满足和讨论目前的 统计理论和实践中的问题。这是特别 有利于初级研究人员、研究生和教职员工 来自路易斯安那州或附近的南方大学。