Symposium on Case Studies in Bayesian Statistics

贝叶斯统计案例研究研讨会

• 批准号: 0711142
• 负责人: Joseph Kadane
• 金额: $ 1.5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0711142&HistoricalAwards=false
• 关键词: Symposium; Case; Studies; Bayesian; Statistics

Case Studies in Bayesian Statistics IX is the ninth workshop in the series that was begun in 1991. The workshops are held in odd years at Carnegie Mellon University in early fall. The ninth workshop is planned for October 19-20, 2007. The highest level goal of the workshop series is to advance statistical practice by examining Bayesian methods in specific applied contexts. The objectives of the workshop are to explore the interplay of statistical theory and practice in the context of substantive scientific research; promote the continued development of Bayesian statistics by highlighting problems in the sciences that require non-standard approaches; provide an opportunity for scientists and statisticians to present their work in depth, highlighting both the scientific background and the analytical approaches; and encourage dissemination of the findings presented at the workshop via well documented and peer reviewed case studies. As it has evolved, this workshop series has become an important meeting for younger researchers in Bayesian statistics. The workshop aims to encourage young researchers, including graduate students, to present their applied work; provide a small meeting atmosphere to facilitate the interaction of young researchers with senior colleagues; expose young researchers to important challenges and opportunities in collaborative research; and include as participants women, under-represented minorities and persons with disabilities who might benefit from the small workshop environment. In addition to our traditional poster session, our workshops include a session devoted to presentations by younger researchers. The conference will also run a short course at the beginning of the workshop. The topic chosen for this year is sequential Markov Chain Monte Carlo methods.Case Studies in Bayesian Statistics IX is the ninth workshop in the series that was begun in 1991. The workshops are held in odd years at Carnegie Mellon University in early fall. The ninth workshop is planned for October 19-20, 2007. The highest level goal of the workshop series is to advance statistical practice by examining Bayesian methods in specific applied contexts. The objectives of the workshop are to explore the interplay of statistical theory and practice in the context of substantive scientific research; promote the continued development of Bayesian statistics by highlighting problems in the sciences that require non-standard approaches; provide an opportunity for scientists and statisticians to present their work in depth, highlighting both the scientific background and the analytical approaches; and encourage dissemination of the findings presented at the workshop via well documented and peer reviewed case studies. Most statistics meetings allow a very limited time (like 20 minutes) for the presentation of a paper. While this is OK for studies that depart only slightly from what is already known and understood, it is a major expositional problem for more ambitious studies. Bayesian statistics, a recent movement in statistics, requires exploration of the scientific background of a study, the statistical modeling and computation, and the conclusions, with all the necessary caveats. Accordingly, the Case Studies in Bayesian Statistics workshops are organized to give researchers and discussants ample time (3 hours) to present and discuss each of two serious Bayesian empirical papers. There is also a special session for young researchers to present their work, a poster session, and a short course (which this year is on sequential Markov Chain Monte Carlo methods, an important new Bayesian computing technique). The conference supports younger researchers, women and under-served minorities to attend the meeting.

贝叶斯统计学IX的案例研究是1991年开始的第九次研讨会。这些研讨会是在季后赛在卡内基·梅隆大学（Carnegie Mellon University）奇怪的。第九届研讨会计划于2007年10月19日至20日举行。研讨会系列的最高水平目标是通过在特定应用的环境中检查贝叶斯方法来提高统计实践。研讨会的目标是在实质性科学研究的背景下探索统计理论和实践的相互作用。通过突出需要非标准方法的科学问题来促进贝叶斯统计数据的持续发展；为科学家和统计学家提供了一个机会，可以深入介绍他们的工作，从而强调了科学背景和分析方法。并鼓励通过经过良好记录和同行审查的案例研究在研讨会上提出的发现传播。随着它的发展，该研讨会系列已成为贝叶斯统计中年轻研究人员的重要会议。该研讨会旨在鼓励包括研究生在内的年轻研究人员介绍他们的应用工作；提供一个小的聚会氛围，以促进年轻研究人员与高级同事的互动；使年轻的研究人员面临合作研究中的重要挑战和机遇；并包括作为参与者，代表性不足的少数民族和可能从小型研讨会环境中受益的残疾人。除了我们的传统海报会议外，我们的研讨会还包括一个专门针对年轻研究人员演讲的会议。该会议还将在研讨会开始时开设一门简短的课程。今年选择的主题是序列马尔可夫链蒙特卡洛方法。贝叶斯统计学的案例研究IX是1991年开始的第九次讲习班。这些讲习班在刚秋天在卡内基·梅隆大学（Carnegie Mellon University）奇怪地举行。第九届研讨会计划于2007年10月19日至20日举行。研讨会系列的最高水平目标是通过在特定应用的环境中检查贝叶斯方法来提高统计实践。研讨会的目标是在实质性科学研究的背景下探索统计理论和实践的相互作用。通过突出需要非标准方法的科学问题来促进贝叶斯统计数据的持续发展；为科学家和统计学家提供了一个机会，可以深入介绍他们的工作，从而强调了科学背景和分析方法。并鼓励通过经过良好记录和同行审查的案例研究在研讨会上提出的发现传播。大多数统计会议允许呈现论文的时间非常有限（例如20分钟）。尽管这对于仅与已经知道和理解的知识相距甚远的研究是可以的，但这是更雄心勃勃的研究的主要论述问题。贝叶斯统计数据是统计的最新运动，需要探索一项研究的科学背景，统计建模和计算以及结论以及所有必要的警告。因此，组织了贝叶斯统计研讨会上的案例研究，以使研究人员和讨论的人有足够的时间（3小时），以介绍和讨论两份严重的贝叶斯经验论文中的每一个。还有一个特别的会议，供年轻研究人员介绍他们的作品，海报会议和一个简短的课程（今年是Markov Chain Monte Carlo Methods，这是一种重要的新贝叶斯计算技术）。该会议支持年轻的研究人员，妇女和服务不足的少数民族参加会议。