Mathematical Sciences: Conference on Multiple Decision Theory and Related Topics

摘要：1995年6月8日至12日，美国普渡大学将召开“多元决策理论及相关专题会议”。会议将由两个部分组成，一个是传统的会议，邀请和贡献了多决策理论的演讲，一个是关于多模型选择的最新方法的密集研讨会，称为“内在贝叶斯因素”。会议的传统部分将包括由该领域领导人邀请的27场会谈，其中包括旨在评估该领域研究现状和评估未来需求的会谈。研讨会阶段将有大约20名活跃的研究人员参与内在贝叶斯因子的开发，这是一种非常最新和有前途的方法，几乎适用于任何模型选择问题，嵌套或非嵌套，而不需要渐近。研讨会阶段将采用非传统的框架，鼓励讨论尚未解决的问题，而不是仅仅强调介绍最近的研究。多元决策理论关注的是有两个或两个以上种群的情况，人们希望选择“更好”的种群，对种群进行排序，或者做出其他涉及种群比较的决策。这种类型的场景在几乎所有统计应用领域的大量应用问题中都很常见。近年来，这一领域出现了大量的活动，召开一次涉及该领域领导人的会议是非常及时的。会议的研讨会阶段将汇集一个较小的研究小组，研究在多个统计模型中进行选择的最佳方法。模型选择通常是统计分析中最重要的阶段，将要讨论的新方法在自动选择最佳模型的能力方面是非常有前途的。努力程度：会议的努力程度正在增加，包括关于内在贝叶斯因素的密集讲习班。当人们意识到许多内在贝叶斯因素的活跃研究人员将参加多元决策理论会议时，增加这个研讨会的可能性就出现了；因此，将会议延长两天以纳入这次讲习班在科学上和财政上都是明智的。预算说明：美国国家科学基金会10,000美元的申请没有改变。但是，大约$5000将用于参加密集讲习班的人员的费用。（当然，这些人也将参加会议的早期部分。）由于努力程度的提高而产生的额外费用将由普渡大学承担。

Re: DMS 95-00061, "Conference on Multiple Decision Theory and Related Topics" PI: James Berger Abstract: During June 8-12, 1995, a conference on Multiple Decision Theory and related topics will be held at Purdue University. The conference will consist of two parts, a traditional conference of invited and contributed talks in multiple decision theory, and an intensive workshop on the recent approach to multiple model selection called "intrinsic Bayes factors." The traditional part of the conference will consist of 27 invited talks by leaders in the field, including talks aimed at assessing the current status of research in the area and assessing future needs. The workshop phase will involve approximately 20 active researchers in development of intrinsic Bayes factors, a very recent and promising methodology which is applicable to virtually any model selection problem, nested or nonnested, without requiring asymptotics. The workshop phase will adopt a non-traditional framework that encourages discussion of unsolved problems, rather than solely emphasizing presentation of recent research. Multiple decision theory is concerned with situations in which there are two or more populations, and it is desired to select the "better" populations, rank order the populations, or make other decisions involving the comparison of populations. This type of scenario is common to a huge variety of applied problems in virtually all areas of statistical application. The area has seen a great deal of activity in recent years, and a conference on the subject involving the leaders in the field is very timely. The workshop phase of the conference will bring together a smaller group of researchers to study optimal ways to select among multiple statistical models. Model selection is typically the most important phase of a statistical analysis, and the new methodology that is to be discussed is extremely promising in terms of its ability to automatically select the best models. Level of Effort: The level of effort in the conference is being increased, by inclusion of the intensive workshop on intrinsic Bayes factors. The possibility of adding this workshop arose when it was realized that many of the active researchers on intrinsic Bayes factors would be at the Multiple Decision Theory conference; extending the conference for two days to incorporate this workshop thus seemed scientifically and financially wise. Budget Explanation: The request for $10,000 from NSF is not being changed. Approximately $5000 will, however, be used for the expenses of those attending the intensive workshop. (These individuals will, of course, also be participating in the earlier portion of the conference.) Additional expenses incurred by the increased level of effort will be met by Purdue University.