Conference on Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data, May 29-31, 2014

观察研究、复杂调查和大数据层次建模前沿会议，2014 年 5 月 29-31 日

• 批准号: 1361869
• 负责人: Yan Li
• 金额: $ 1万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-15 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1361869&HistoricalAwards=false
• 关键词: Conference; Frontiers; Hierarchical; Modeling; Observational

Conference title: "Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data"Dates: May 29-31, 2014Location: University of Maryland at College Park Conference website: http://www.jointprogram.umd.edu/ghosh/ This conference, titled "Frontiers of hierarchical modeling in observational studies, complex surveys and big data," will cover a range of topics, which include Bayesian methods, random effects, hierarchical models, small area estimation, case-control studies, and large scale data analysis. The conference will promote the role of statistics in both interdisciplinary research and the general science.The conference is expected to have an impact on the next generation of statistical researchers and educators, through interaction with peers and senior professionals from academia, industries, and government agencies. The conference will have an excellent slate of plenary, invited, contributed, and poster sessions. In addition, a special plenary session will be organized for poster presenters to give three-minute highlights of their papers. During the regular poster sessions, the conference attendees will have ample time to discuss their research. Students will be selected for travel awards based on their submitted papers/posters. The event will provide a forum for junior researchers and students from diverse backgrounds to interact with respected senior leaders in the field and with one another. While selecting the recipients, special consideration will be given to women and minority students.

会议名称：“分层建模在观测研究、复杂调查和大数据中的前沿”日期：2014年5月29-31日地点：马里兰大学帕克分校http://www.jointprogram.umd.edu/ghosh/本次会议的主题为“观察研究、复杂调查和大数据中的分层建模前沿”，将涵盖一系列主题，包括贝叶斯方法、随机效应、分层模型、小区域估计、病例对照研究和大规模数据分析。会议将促进统计在跨学科研究和一般科学中的作用。通过与来自学术界、工业界和政府机构的同行和高级专业人士的互动，预计会议将对下一代统计研究人员和教育工作者产生影响。会议将有一个极好的全体会议、邀请会议、贡献会议和海报会议。此外，还将组织一次特别全体会议，让海报演讲者对他们的论文进行三分钟的重点介绍。在定期的海报会议期间，与会者将有充足的时间讨论他们的研究。学生将根据提交的论文/海报获得旅游奖项。该活动将为来自不同背景的初级研究人员和学生提供一个论坛，让他们与该领域受人尊敬的高级领导人以及彼此之间进行互动。在选择获奖者时，将特别考虑妇女和少数民族学生。