Conference on Statistical Methods for Complex Data

2009年3月13日和14日，将在德克萨斯州学院站的德克萨斯A M大学举行一次关于当前涉及大量复杂数据的统计问题的会议。会议将重点讨论非参数和半参数方法，分析功能数据的方法，测量误差和逆问题，以及生物学，遗传学和人口科学中的统计应用。会议将为统计人员和科学家提供一个促进跨学科互动的场所。它将处理新出现的统计问题，并帮助确定复杂数据方法研究的未来方向。来自NSF的资金将主要用于支付年轻研究人员和研究生的差旅费。本次会议的目的是将顶级和初级研究人员聚集在一起，以定义和扩展复杂数据方法研究的研究前沿。该研讨会为顶级和初级研究人员提供了一个焦点场所，以收集，互动和展示他们的新研究成果，讨论和概述各自领域的新问题，并为未来富有成效的合作奠定基础。此外，它将为有兴趣寻找有趣的工作领域的研究生提供概述。该研讨会侧重于建模和分析复杂数据的几个关键主题。这将非常有助于推动解决具有高度社会影响的问题的统计研究。

A conference on the current statistical issues that involve large and complex data will be held at the Texas A&M University in College Station, Texas, on March 13th and 14th, 2009. The conference will focus on nonparametric and semiparametric methods, methods to analyze functional data, measurement error and inverse problems, and statistical application in biology, genetics and population sciences. The conference will provide statisticians and scientists a venue for stimulating interdisciplinary interactions. It will address emerging statistical issues and help shape future directions of methodological research on complex data. Funds from NSF will be primarily used to defray the travel costs of young researchers and graduate students.The purpose of this conference is to bring together top and junior researchers to define and expand the research frontiers of methodological research on complex data. The workshop provides a focal venue for top and junior researchers to gather, interact and present their new research findings, to discuss and outline emerging problems in their fields, and to lay the groundwork for fruitful future collaborations. Moreover, it will provide an overview for graduate students who are interested in seeking for an interesting area to work. The workshop focuses on several topics crucial in modeling and analyzing complex data. It will be very helpful for advancing statistical research that addresses problems of high societal impact.