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

会议标题：“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：马里兰大学大学园区会议网站：http://www.jointprogram.umd.edu/ghosh/本次会议题为“观测研究、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。这次会议将促进统计学在跨学科研究和普通科学中的作用。会议预计将通过与学术界、工业界和政府机构的同行和高级专业人员的互动，对下一代统计研究人员和教育工作者产生影响。大会将有一系列出色的全体会议、受邀会议、投稿会议和海报会议。此外，还将为海报推荐人组织一次特别全体会议，为他们的论文提供三分钟的亮点。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。学生将根据他们提交的论文/海报被选为旅游奖项。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与该领域受人尊敬的高级领导人和彼此互动的论坛。在选择获奖者时，将特别考虑妇女和少数族裔学生。

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.