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Conference on Nonparametric Statistics-Integration of Theory, Methods and Applications

Conference on Nonparametric Statistics-Integration of Theory, Methods and Applications
非参数统计会议-理论、方法与应用的整合
批准号:
1607965
负责人:
Naisyin Wang
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-01 至 2017-05-31

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中文摘要
翻译
会议非参数统计:理论,方法和应用的集成将在密歇根大学,2016年10月5日至7日举行。(See http://sites.lsa.umich.edu/npworkshop2016/.)会议的目标是将非参数统计的研究人员,需要这些方法的从业人员以及对这一领域感兴趣的研究生聚集在一起,在轻松和刺激的气氛中专注于研究和应用。非参数方法的发展是现代数据分析的重要组成部分,也是统计学中重要的研究课题。通过理论和数值研究来减少或消除过拟合、不可控制的偏差和升高的变异一直是非参数统计领域的关键工作。接触和了解这些方法对于下一代统计人员的实际应用和教育至关重要。美国国家科学基金会的资助将确保初级研究人员能够参加这次会议。密歇根大学将于2016年10月5日至7日举办非参数统计会议:理论,方法和应用的整合。会议的全体发言人是彼得·比克尔、雷蒙德·卡罗尔、大卫·鲁珀特和王珍玲。会议的目标是将非参数统计的研究人员,需要这些方法的从业人员以及对这一领域感兴趣的研究生聚集在一起,在轻松和刺激的气氛中专注于研究和应用。该奖项为初级研究人员参加会议提供旅行支持。
英文摘要
The conference Nonparametric Statistics: Integration of Theory, Methods and Applications will be held at the University of Michigan, October 5-7, 2016. (See http://sites.lsa.umich.edu/npworkshop2016/.) The goal of the conference is to bring together researchers in nonparametric statistics, practitioners requiring these methods, and graduate students interested in this area, in a relaxed and stimulating atmosphere focused on research and applications. The development of nonparametric methods contribute to an essential part of modern data analysis and provide important research topics within statistics. Reduction or elimination of overfitting, uncontrollable biases and elevated variation through approaches supported by theoretical and numerical investigations have always been the key exercises in the field of nonparametric statistics. Exposure to and understanding of these methods are essential to practical applications and education of the next-generation statisticians. NSF funding will ensure that junior researchers are able to attend this conference.The University of Michigan will host a conference on Nonparametric Statistics: Integration of Theory, Methods and Applications, October 5-7, 2016. Plenary speakers for the conference are Peter Bickel, Raymond Carroll, David Ruppert, and Jane-Ling Wang. The goal of the conference is to bring together researchers in nonparametric statistics, practitioners requiring these methods, and graduate students interested in this area, in a relaxed and stimulating atmosphere focused on research and applications. This award provides travel support for junior researchers to attend the conference.
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会议论文
Mathematical Sciences: Bandwidth Selection in Semiparametric Regression Problems
  • 批准号:
    9423247
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.8万
  • 财政年份:
    1995
  • 负责人:
    Naisyin Wang
  • 依托单位:
海外基金