Conference on Statistical Challenges in Modern Astronomy II

提案： DMS 9504783 PI：Gutti Babu，Eric Feigelson机构：宾夕法尼亚大学。州立大学题目：现代天文学统计挑战会议II 2. 项目的摘要。 该奖项将支持统计和天文学的跨学科会议。 近年来，天文学家已经证明了相当多的 有兴趣应用先进的统计技术，如 测量误差的变量误差回归模型 问题，未检测调查的生存分析，以及 星系分布的聚类算法。 通信 两个社区之间的关系因成功的 由巴布和费格森在1999年组织的跨学科会议 1991年8月，这是自那时以来在美国举行的第一次此类会议， 天文学家对方法学问题的兴趣越来越大， 每年在天文学杂志上发表近200篇论文， 关于统计问题的文献。 拟议的会议将 专题讲座由杰出统计学家主讲， 适用于天文学研究的方法。 拟议中的会议旨在弥合 天文学家和统计学家的社区， 研究人员和学生共同感兴趣的问题。 的 会议将开始与邀请演讲的统计学家 描述了与一类 天文问题 应用程序和建议，以调整 天文学界需要的方法将是 天文学家讨论过。 具体的数据分析问题和 然后，将在提供的介绍中讨论方法问题。 年轻的研究人员在这两个领域都有相当大的机会。 领域追求现代遇到的方法论问题 天文学

Proposal: DMS 9504783 PIs: Gutti Babu, Eric Feigelson Institution: Penn. State University Title: Conference on Statistical Challenges in Modern Astronomy II 2. Abstract for the project. This award will support a cross-disciplinary conference on statistics and astronomy. In recent years, astronomers have shown considerable interest in applying advanced statistical techniques such as errors-in-variables regression models for measurement error problems, survival analysis for surveys with nondetections, and clustering algorithms for galaxy distri`utions. Communication between the two communities was elevated by the successful cross-disciplinary conference organized by Babu and Feigelson in August 1991, the first such meeting in the U.S. Since then, interest on methodological issues has grown among astronomers, with nearly 200 papers published annually in the astronomical literature on statistical issues. The proposed conference will feature lectures by distinguished statisticians on advanced methods applicable to astronomical research. The proposed conference seeks to bridge the gap between the communities of astronomers and statisticians, exposing researchers and students to issues of common interest. The sessions will begin with an invited lecture by a statistician describing important new developments relevant to a class of astronomical problems. Applications and suggestions to tune the methods for the needs of the astronomy community will be discussed by astronomers. Specific data analysis problems and methods will then be addressed in contributed presentations. There is considerable opportunity for young researchers in both fields to pursue methodological problems encountered in modern astronomy.