A Conference on Nonparametric Inference and Probability with Applications to Science

非参数推理和概率及其在科学中的应用会议

• 批准号: 0508671
• 负责人: Robert Keener
• 金额: --
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2005-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0508671&HistoricalAwards=false
• 关键词: Conference; Nonparametric; Inference; Probability; Applications

This project provides funds to partially support a research conferencefocusing on several related important topics in nonparametricinference and probability, with applications to science. Theconference is planned to be held in Ann Arbor at the University ofMichigan, September 10-11, 2005. It will highlight challenges anddevelopments in biased sampling and missing data, shape-restrictedinference, contemporary sequential analysis, and modern nonparametricinference, probability, and statistics in biology and physical sciences.Statistical inference, the science of learning from data, has alwayshad an interdisciplinary focus, and as statistics and related areas ofapplication evolve and move forward, there is an ongoing need to sharedevelopments and new ideas across related disciplines. This conferenceat the interface of statistics and the sciences will promote thistransfer of knowledge allowing researchers in these related fields toshare ideas and learn from one another. The conference will also havebroader impacts, allowing young and leading researchers to interactand exchange ideas, promoting collaboration, broadening the scope ofapplications, and contributing to further developments in these areas.

该项目提供资金部分支持一个研究会议，重点讨论非参数推理和概率中的几个相关重要主题，并应用于科学。会议计划于2005年9月10日至11日在密歇根大学安阿伯举行。它将突出有偏抽样和缺失数据，形状限制推理，当代序贯分析，以及生物学和物理科学中的现代非参数推理，概率和统计学的挑战和发展。统计推理，从数据中学习的科学，一直是一个跨学科的焦点，随着统计学和相关应用领域的发展和前进，有一个持续的需要，以分享发展和新的想法，在相关学科。这次会议在统计和科学的接口将促进这种知识的转移，使研究人员在这些相关领域分享思想和相互学习.会议还将产生更广泛的影响，使年轻和领先的研究人员能够互动和交流思想，促进合作，扩大应用范围，并为这些领域的进一步发展做出贡献。