Participant Support for Workshop on Statistical Methods for the Analysis of Network Data in in Dublin, Ireland.

爱尔兰都柏林网络数据分析统计方法研讨会的参与者支持。

• 批准号: 0924358
• 负责人: Stephen Fienberg
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0924358&HistoricalAwards=false
• 关键词: Participant; Support; Workshop; Statistical; Methods

This award will support travel and expenses for young U.S. participants in a three-day Workshop on Statistical Methods for the Analysis of Network Data in Practice, to be held on June 15-17, 2009 in Dublin, Ireland. Many modern data analysis problems involve large data sets from social, biological and other networks. In these settings, traditional modeling assumptions are inappropriate; the analysis of these data must take into account the structure of relationships between the entities being measured. In keeping with this perspective, the Annals of Applied Statistics (AOAS) has been planning a special section to appear in late 2009 or early 2010 with papers on the modeling of network data. This workshop will pay special attention to model design and computational issues of model fitting and inference. The workshop will take advantage of the high quality papers that have already been submitted to AOAS to bringing together statistical network modeling researchers from different communities, and encourage the submission of papers by young researchers and graduate students in a broad spectrum of disciplines. The workshop goal is to foster collaborations and intellectual exchange resulting in novel modeling approaches, diverse applications, and new research directions for network research and its application.

该奖项将支持旅行和费用的年轻美国参与者在为期三天的研讨会上的统计方法分析网络数据的实践，将于2009年6月15日至17日在都柏林，爱尔兰。许多现代数据分析问题涉及来自社会、生物和其他网络的大型数据集。在这些环境中，传统的建模假设是不合适的;这些数据的分析必须考虑被测量的实体之间的关系结构。根据这一观点， 《应用统计年鉴》（AOAS）计划在2009年底或2010年初推出一个特别的部分，刊登关于网络数据建模的论文。本研讨会将特别关注模型设计和模型拟合和推理的计算问题。研讨会将利用已经提交给AOAS的高质量论文，将来自不同社区的统计网络建模研究人员聚集在一起，并鼓励年轻研究人员和研究生在广泛的学科中提交论文。 研讨会的目标是促进合作和智力交流，从而为网络研究及其应用提供新颖的建模方法，多样化的应用和新的研究方向。