Symposium on Case Studies in Bayesian Statistics - VI

2001年9月28日（星期五）和9月29日（星期六）将在宾夕法尼亚州匹兹堡的卡耐基-梅隆大学举行题为“科学技术中的贝叶斯统计：案例研究VI”的专题讨论会。研讨会将包括两次关于贝叶斯方法在统计学家是研究小组不可或缺成员的问题中的应用的扩展报告，以及一个由三位专家组成的小组分析的统计方法的案例研究。此外，还将举办两次海报会议。专题讨论会的目标是：(i)突出统计理论和应用在实质性科学研究方面的密切相互作用；（ii）通过查明没有标准解决办法的问题，并鼓励理论的扩展和实施，从而促进贝叶斯统计的发展，以便找到可能的分析方法。（三）突出向科学界报告贝叶斯统计分析的主题，并讨论有效和相关的交流方法，包括定量分析中使用的方法和从定量分析中得出的结论。（四）为年轻的研究人员和研究生提供一个小型的会议气氛，以介绍他们的工作，并与资深同事互动，并了解贝叶斯方法在实质性问题上的最新进展。通过强调在科学研究过程中出现的许多具有挑战性的统计问题，鼓励统计人员和研究人员在主题学科方面进行合作。传播在讲习班上提出的研究成果，出版一册载有充分记录和同行审查的个案研究和数据集，以及其他选定的讲习班报告。随着越来越多的背景信息可供科学家进行调查，在设计研究和分析数据时有效地利用以前的知识是很重要的。贝叶斯统计方法就是为这个目的量身定做的。最近在贝叶斯统计理论和计算方面取得了许多进展，但科学会议很少花大量时间讨论应用。这次研讨会的目的是把注意力集中在贝叶斯统计的应用上。目的是阐明理论与实践之间的相互作用，从而确定成功的方法，并为未来的研究指明重要的方向。

A symposium entitled "Bayesian Statistics in Science and Technology: Case Studies VI" will be held at Carnegie-Mellon University in Pittsburgh, Pennsylvania, on Friday September 28 and Saturday September 29, 2001. The symposium will include two extended presentations of applications of Bayesian methods in problems in which the statistician was an integral member of the research team, and one case study of statistical methods analyzed by a panel of three experts. Two contributed poster sessions will also be held. The objectives of the symposium are to (i) Highlight the close interplay of statistical theory and applications in the context of substantive scientific research, (ii) Contribute to the development of Bayesian statistics, by identifying problems without standard solution, and encouraging the extension of the theory and its implementation so that possible approaches to analyses may be found. (iii) Bring to the fore the topic of reporting of Bayesian statistical analyses to the scientific community, and discuss effective and relevant means of communicating both the methods used in, and the conclusions drawn from quantitative analyses. (iv) Provide a small meeting atmosphere for young researchers and graduate students to present their work and to interact with senior colleagues, and to learn about the recent advances in implementation of Bayesian method in substantive problems. (v) Encourage the collaboration between statisticians and researchers in subject mater disciplines, by emphasizing the many challenging statistical problems that arise in the course of scientific research. (vi) Disseminate the results of the research presented at the workshop by publishing a volume containing well-documented and peer-reviewed case studies and data sets, and other selected workshop presentations. As increasingly much background information becomes available to scientists undertaking an investigation, it is important to utilize previous knowledge 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 applications. The purpose of this symposium is to concentrate attention solely on applications of Bayesian statistics. The goal is to elucidate the interplay between theory and practice and thereby identify successful methods and indicate important directions for future research.