International Conference on Current Advances and Trends in Nonparametric Statistics, July 15-19, 2002, Crete, Greece

非参数统计当前进展和趋势国际会议，2002 年 7 月 15-19 日，希腊克里特岛

• 批准号: 0206912
• 负责人: Dimitris Politis
• 金额: $ 1.5万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0206912&HistoricalAwards=false
• 关键词: International; Conference; Current; Advances; Trends

The objective of the proposed 5-day international conference is to highlight the major trends in several areas of nonparametric statistics. Among the areas included are: smoothing methods, functional data analysis, data mining, nonparametric model building, nonparametric inference, resampling, spatial statistics, computation statistics, high dimensional data, dependent data, and censored data. The application areas feature medical research, bioinformatics, analysis of microarray data, analysis of evolutionary data, cancer research, AIDS and HIV research. To achieve this goal the members of the organizing committee were selected with the idea of having as complete a representation of the important trends in nonparametric statistics as possible. Indeed the committee consists of some top people in the field. More information can be found in http://www.psu.edu/~npconf/. By bringing together researchers from the USA and Europe, the conference is expected to facilitate the exchange of research ideas, promote collaboration and contribute to further development of the field. New researchers have been encouraged to attend with preference being given to them-as well as members of the underrepresented groups-for support. Six issues (one volume) of the Journal of Nonparametric Statistics have been made available to host papers that will be presented in the conference with the conference organizers serving as guest editors.

提议的为期5天的国际会议的目的是突出非参数统计的几个领域的主要趋势。这些领域包括：平滑方法、功能数据分析、数据挖掘、非参数模型构建、非参数推理、重采样、空间统计、计算统计、高维数据、依赖数据和审查数据。应用领域包括医学研究、生物信息学、微阵列数据分析、进化数据分析、癌症研究、艾滋病和艾滋病毒研究。为了实现这一目标，组委会成员的选择考虑到尽可能完整地代表非参数统计中的重要趋势。事实上，该委员会由该领域的一些顶尖人士组成。更多信息可以在http://www.psu.edu/~npconf/找到。通过汇集来自美国和欧洲的研究人员，会议有望促进研究思想的交流，促进合作，并为该领域的进一步发展做出贡献。新的研究人员被鼓励参加，并优先考虑他们——以及代表性不足的群体的成员——以获得支持。《非参数统计杂志》的六期（一卷）已提供给主办论文，这些论文将在会议上发表，会议组织者将担任客座编辑。