The Seventh Purdue International Symposium on Statistics

第七届普渡国际统计学研讨会将于2003年6月19日至24日在印第安纳州普渡大学举行。它包括一个关于统计决策理论和相关主题的主要会议(6月21日、22日)、一个生物信息学研讨会(6月19日、20日)、一个统计咨询研讨会(6月23日、24日)和一个关于大型数据集的多重比较和混合模型的研讨会(6月23日、24日)。这一系列独特的国际会议长期以来一直是介绍和传播统计理论和方法的一项重大活动。在这次会议上，与上一次会议一样，特别努力强调跨学科研究和大型数据集的应用。近年来，在科学和工业的跨学科问题中，出现了专门针对高维数据分析的新理论和方法的爆炸性增长。这些新方法有助于挖掘、探索和分析大数据集。会议和研讨会将集中讨论其中的一些问题和方法。国家科学基金会提供的资金将用于支持主要会议和大型数据集多重比较和混合模型研讨会，为旅行提供部分或全部支持，优先支持没有替代资金的年轻研究人员和代表性不足的群体。

DMS-0314302PI: Mary Ellen BockAbstractThe Seventh Purdue International Symposium on Statistics will be held June 19 to 24, 2003, at Purdue University, Indiana. It consists of a main conference on Statistical Decision Theory and related topics (June 21, 22), a workshop on Bioinformatics (June 19, 20), a workshop on Statistical Consultancy (June 23, 24) and a workshop on Multiple Comparisons and Mixture Models for Large Data Sets (June 23, 24). This series of unique international meetings has long been a major event for presentation and dissemination of Statistical Theory and Methods. In this meeting, as in the previous one, special effort has been made to stress applications to interdisciplinary research and large data sets. In recent years there has been an explosion of new theory and methods that specifically target high dimensional data analysis in interdisciplinary problems of science and industry. These new methods help mine, explore and analyze large data sets. The conference and the workshop will focus on some of these problems and methods. The funding provided by the National Science Foundation will be used to support the main conference and the workshop on Multiple comparisons and Mixture Models for Large Data sets by providing partial or full support of travel with preference for young researchers with no alternative funding and underrepresented groups.