Mathematical Sciences: Workshop on Bayesian Statistics in Science and Technology

提案：DMS 9505461 PI：Robert Kass、Constantine Gatsonsi、James Hodges、Nozer 辛普尔瓦拉 卡内基梅隆大学 标题：贝叶斯案例研究研讨会，1995年10月 摘要： 题为“科学和技术中的贝叶斯统计： 案例研究III“ 在匹兹堡的麦基-梅隆大学举行， 宾夕法尼亚州，包括贝叶斯应用的扩展介绍 方法. 这些应用程序是在统计学家是一个问题， 研究团队的一员 研讨会的目的是 （1）确定并重点关注具体的执行工作， 阻碍贝叶斯方法应用的理论问题，以及 确定备选解决方案; ㈡提供一个论坛， 统计理论与实践之间的联系将在以下背景下进行探讨： （三）提供小型会议的氛围; 初级研究人员和研究生可以探索 贝叶斯应用与经验丰富的研究人员;及（iv）产生一个 一卷载有详细记录的案例研究和数据集， 研究人员、从业人员、教育工作者和学生使用应用统计 和其他量化领域。 今天，有越来越多的背景资料可用 进行调查的科学家。 重要的是利用 有效地设计研究和分析数据。 贝叶斯统计方法是专门为这一目的而设计的。 有 贝叶斯统计理论和计算的许多最新进展，但 科学会议很少花大量时间讨论成功的 将这些方法应用于实质性的科学问题。这 专题讨论会只集中注意贝叶斯的应用 统计 应用领域从经济到人口 生物学 其结果将是阐明理论之间的相互作用 和实践，并确定成功的方法，将指出未来研究的重要方向。 的相互作用和动态 讲习班将通过录像带和 更传统的会议记录的书面形式。

Proposal: DMS 9505461 PIs: Robert Kass, Constantine Gatsonsi, James Hodges, Nozer Singpurwalla Institution: Carnegie Mellon University Title: Bayesian Case Studies Workshop, October 1995 Abstract: The symposium entitled ``Bayesian Statistics in Science and Technology: Case Studies III'' held at Carnegie-Mellon University in Pittsburgh, Pennsylvania, includes extended presentations of applications of Bayesian methods. These applications are in problems in which the statistician is an integral member of the research team. The objectives of the symposium are to: (1)identify and focus attention on specific implementation and theoretical problems that hinder applications of Bayesian methods, and to identify candidate solutions; (ii) provide a forum in which the interplay between statistical theory and practice will be explored in the context of concrete research projects; (iii) provide a small-meeting atmosphere within which junior investigators and graduate students can explore substantial Bayesian applications with experienced researchers; and (iv) produce a volume containing well-documented case studies and data sets suitable for use by researchers, practitioners, educators and students of applied statistics and other quantitative fields. Today there are increasing amounts of background information available to scientists undertaking an investigation. It is important to utilize previousknowledge effectively in designing studies and analyzing data. Bayesian statistical methods are tailored to this purpose. There have been many recent advances in Bayesian statistical theory and computation, but scientific meetings rarely spend substantial time discussing successful applications of these methods to substantive scientific problems. This symposium concentrates attention solely on applications of Bayesian statistics. The application areas range from economics to population biology . The result will be the elucidation of the interplay between theory and practice and the identification of successful methods that will point to important directions for future research. The interactions and dynamics of the workshop will be captured and disseminated via video tape and in the more traditional written form of a conference proceedings.