Conference on resampling methods and high dimensional data

重采样方法和高维数据会议

• 批准号: 1016239
• 负责人: Soumendra Lahiri
• 金额: $ 1万
• 依托单位: Texas A&M Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-15 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1016239&HistoricalAwards=false
• 关键词: Conference; resampling; methods; dimensional; data

This project focuses on organizing a 2-day international conference entitled Conference on resampling methods and high dimensional data at the Texas A & M university, College Station, TX, March 25-26, 2010. The conference provides a unique platform for bringing together researchers working in two cutting edge areas of current research in statistics, namely, Resampling methods for complex data structures and Inference for high dimensional data, in order to facilitate the exchange of research ideas on the two topics and to further the development of these booming fields. The meeting is co-sponsored by the National Institute of Statistical Sciences and by the Section on Nonparametric Statistics, American Statistical Association. The conference has an international program committee chaired by Professors S.N. Lahiri (Texas A & M), and an Advisory Committee, consisting of Professors R.J. Carroll (Texas A & M), Bradley Efron (Stanford), and Hans R. K¨unsch (ETH, Zurich, Switzerland).The two-day conference Conference on resampling methods and high dimensional data brings together top and junior researchers to define and expand the research frontiers of two highly active research areas of statistics and probability that deal with complex data structures. There are a number of areas of science and engineering, such as bio-informatics, brain imaging, econometrics,electrical engineering, finance, meteorology, etc., where such data appear frequently and which directly benefit from advances in these topics. The funding provides support for selected groups of participants including graduate students, minorities, and young researchers who can not attend the conference otherwise, thereby promoting human resource development.

该项目的重点是于 2010 年 3 月 25 日至 26 日在得克萨斯州大学城德克萨斯农工大学举办为期 2 天的国际会议，题为“重采样方法和高维数据会议”。该会议提供了一个独特的平台，将当前统计研究的两个前沿领域（即复杂数据结构的重采样方法和高维数据推理）的研究人员聚集在一起，以促进关于这两个主题的研究思想的交流。 并进一步发展这些蓬勃发展的领域。本次会议由美国国家统计科学研究所和美国统计协会非参数统计分会共同主办。该会议设有一个国际程序委员会，由 S.N. 教授担任主席。 Lahiri（德克萨斯农工大学）和一个由 R.J. 教授组成的咨询委员会卡罗尔（德克萨斯农工大学）、布拉德利·埃夫隆（斯坦福大学）和汉斯·R·昆施（苏黎世联邦理工学院，瑞士苏黎世）。为期两天的关于重采样方法和高维数据的会议汇聚了顶尖和初级研究人员，定义和扩展了处理复杂数据结构的统计和概率这两个高度活跃的研究领域的研究前沿。许多科学和工程领域，如生物信息学、脑成像、计量经济学、电气工程、金融、气象学等，这些数据经常出现，并直接受益于这些主题的进步。该资金为无法参加会议的研究生、少数族裔和年轻研究人员等选定的参与者群体提供支持，从而促进人力资源开发。