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或应该发挥的作用。由于高吞吐量数据收集技术的出现以及分析此类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。虽然大多数新的令人兴奋的统计方法提供了工具，在许多重要的科学问题取得进展，需要推广和系统化的知识，现在是相当明显的。研讨会将在莱斯大学举行，将汇集一组专家讨论在现代统计方法的背景下，前沿的研究最优性的想法。虽然在数据可视化、数据挖掘和知识发现等领域已经取得了很大进展，但这些主题已经成熟，可以发展一种最优范式，对各种方法进行客观的比较。这种新的范式，虽然仍有待定义，是必要的，以推动这些重要学科的研究前沿。会议将展示在有利于新的人力资源开发的环境中，领先的研究人员的新发展。重点将是理论思想的发展，为统计人员在计算密集型领域做出的许多成功努力提供强有力的支持。该奖项支持12名年轻的研究人员和8名博士。学生参加会议。妇女和少数民族青年研究人员和博士并会积极招募及鼓励学生申请。将发表经评审的论文。

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.