Symposium on Case Studies in Bayesian Statistics

“贝叶斯统计案例研究4”专题讨论会将于1999年9月24日星期五和9月25日星期六在卡内基梅隆大学举行。 研讨会将包括三个扩展介绍贝叶斯方法的应用。在这些应用程序中，统计学家一直是研究团队的一个不可或缺的成员。还将举行两次投稿海报会议。研讨会的目标是：㈠ 确定并集中注意阻碍贝叶斯方法应用的具体实施和理论问题，并确定候选解决方案; ㈡提供一个论坛，在该论坛中，将在具体研究项目的背景下探讨统计理论和实践之间的相互作用;（iii）提供─会议气氛中，初级研究人员和研究生可以探索大量的贝叶斯应用与经验丰富的研究人员;及（iv）出版一本载有详细记录的个案研究和数据集的书籍，供研究人员、从业人员、教育工作者和应用统计及其他量化领域的学生使用。贝叶斯统计方法是专门为这一目的而设计的。贝叶斯统计理论和计算最近取得了许多进展，但科学会议很少花大量时间讨论应用。本次研讨会的目的是集中注意力仅仅在贝叶斯统计的应用。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，并为未来的研究指出重要的方向。

The symposium ``Case Studies in Bayesian Statistics 4'' will be held at Carnegie Mellon University on Friday September 24 and Saturday September 25, 1999. The symposium will include three extended presentations of applications of Bayesian methods. In these applications the statistician has been an integral member of the research team. Two contributed poster sessions will also be held. The objectives of the symposium are to:(i) 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.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.