Case Studies in Bayesian Statistics and Machine Learning Workshop Conference Travel; October 2009, Pittsburgh, PA

贝叶斯统计和机器学习研讨会会议旅行案例研究；

• 批准号: 0939609
• 负责人: Joseph Kadane
• 金额: $ 0.5万
• 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: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0939609&HistoricalAwards=false
• 关键词: Case; Studies; Bayesian; Statistics; Machine

The First Workshop in Bayesian Statistics and Machine Learning, to be held at Carnegie Mellon University, October 15-17, 2009, will hear extended discussion of the following case studies: "Decision theoretic Bayesian nonparametric inference for the molecular characterization and stratification of colorectal cancer using genome-wide arrays", by Christopher C. Holmes, Christopher Yau, Ian Tomlinson and Jean-Baptiste Cazier; "Calibrating the Universe: A Bayesian Uncertainty Analysis of Galaxy Simulation" by Ian Vernon, Richard Bower and Michael Goldstein; "Rigorous Error Analysis for Small Angle Neutron Scattering Datasets Using Bayesian Inference", by Chip Hogg, Jay Kadane, Jong Soo Lee, and Sara Majetich. A new investigator's session, a short-course introduction to Bayesian analysis and machine learning, a session on how to get a grant, and a mixer, are all aimed at attracting students and recent graduates. This grant supports travel and local expenses for speakers and young investigators to attend the First Workshop in Bayesian Statistics and Machine Learning, to be held at Carnegie Mellon University, October 15-17, 2009. The fields of Bayesian statistics and machine learning are starting to grow together; we hope that the workshop will accelerate this process by focusing attention on serious scientific applications of the methods.

The First Workshop in Bayesian Statistics and Machine Learning, to be held at Carnegie Mellon University, October 15-17, 2009, will hear extended discussion of the following case studies: "Decision theoretic Bayesian nonparametric inference for the molecular characterization and stratification of colorectal cancer using genome-wide arrays", by Christopher C. Holmes, Christopher Yau, Ian Tomlinson and Jean-Baptiste cazier;伊恩·弗农（Ian Vernon），理查德·鲍尔（Richard Bower）和迈克尔·戈德斯坦（Michael Goldstein）的“校准宇宙：对银河系模拟的贝叶斯不确定性分析”； Chip Hogg，Jay Kadane，Jong Soo Lee和Sara Majetich，“使用贝叶斯推理的小角度中子散射数据集的严格错误分析”。新的调查员会议，贝叶斯分析和机器学习的短期介绍，有关如何获得赠款和调音师的会议，旨在吸引学生和最近的毕业生。 该赠款支持演讲者和年轻调查人员参加贝叶斯统计和机器学习的第一个讲习班的旅行和当地费用，该研讨会将于2009年10月15日至17日在卡内基·梅隆大学举行。贝叶斯统计和机器学习领域开始一起发展；我们希望该研讨会通过将注意力集中在方法的严重科学应用上来加速这一过程。