Conference: The Second Erich L. Lehmann Symposium -- Optimality; May 19-22, 2004; Houston, TX

为期四天的会议的目标是研究最优性在现代统计学中可以发挥或应该发挥的作用。由于高吞吐量数据采集技术的出现以及分析这些数据的计算能力的并行发展，统计理论经常让位于原始计算能力。尽管大多数令人兴奋的新统计方法为在许多重要的科学问题上取得进展提供了工具，但现在很明显需要将这些知识普遍化和系统化。研讨会将在莱斯大学举行，将汇集一组专家，讨论现代统计方法背景下的前沿研究最优性思想。尽管在数据可视化、数据挖掘和知识发现等领域已经取得了很大的进展，但这些主题已经成熟，可以开发一种允许对方法进行客观比较的最优性范式。这种新的范式虽然还有待定义，但对于推动这些重要学科的研究前沿是必要的。会议将在有利于开发新人力资源的环境中展示主要研究人员的新发展。重点将是理论思想的发展，为统计学家所贡献的计算密集型领域的许多成功努力提供强有力的基础。该奖项支持12名青年研究者和8名博士生参加会议。积极招募女性和少数民族青年研究员和博士生，并鼓励他们申请。经过评审的论文将被发表。

The goal of the four-day conference is to examine the role that Optimality can play, or should play, in modern statistics. Due to the advent of high throughput data collection technology and the parallel development of computing power to analyze such data, it often happens that statistical theory gives way to raw computing power. Although most of the new exciting statistical methodologies have provided tools to make headway in many important scientific problems, a need to generalize and systematize this knowledge is now quite evident.The Symposia will take place in Rice University and will bring together a group of experts to discuss cutting-edge research optimality ideas in the context of modern statistical methodologies. Although much progress has taken place in areas such as data visualization and data mining and knowledge discovery, the subjects are ripe for the development of an optimality paradigm that allows for objective comparisons of methodologies. This new paradigm, although still to be defined, is necessary to push the research frontiers in these important disciplines.The conference will showcase new developments by leading researchers in an environment conducive to the development of new human resources. The focus will be the development of theoretical ideas to provide strong underpinnings to the many successful efforts in computation intensive areas where statisticians have contributed. This award supports twelve young investigators and eight Ph.D. students to attend the conference. Women and minority young investigators and Ph.D. students will be actively recruited and encouraged to apply. Refereed papers will be published.