Conference on Statistical Challenges in Modern Astronomy II

提案：DMS 9504783个人：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为项目摘要。该奖项将用于支持统计学和天文学的跨学科会议。近年来，天文学家对应用先进的统计技术表现出相当大的兴趣，例如用于测量误差问题的变量误差回归模型，用于未检测到的调查的生存分析，以及用于星系分布的聚类算法。1991年8月，Babu和Feigelson组织了一次成功的跨学科会议，这是美国第一次这样的会议，提高了两个团体之间的交流。从那时起，天文学家对方法问题的兴趣越来越大，每年在天文学文献中发表近200篇关于统计问题的论文。这次会议将由杰出的统计学家就适用于天文学研究的先进方法发表演讲。拟议中的会议旨在弥合天文学家和统计学家群体之间的差距，使研究人员和学生接触共同感兴趣的问题。会议将以一位统计学家的邀请讲座开始，介绍与一类天文问题有关的重要新发展。天文学家将讨论根据天文学界的需要调整方法的应用和建议。具体的数据分析问题和方法将在提交的报告中解决。这两个领域的年轻研究人员都有相当多的机会去研究现代天文学中遇到的方法论问题。

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.