Astrostatistics: Advancing statistical methodology for astronomy

在现代天文研究中出现了大量的统计问题，特别是由于许多波段的天文调查所产生的大量数据。同样重要的是数据集复杂性的大幅增加，虽然科学前景巨大，但它关键取决于提取有用知识的能力。这是一个多方面的项目，包括跨学科的天文统计研究，以及新颖的教育和推广工作。具体项目包括最大似然和重采样方法，用于超大型流数据集的统计计算算法，变量对象的实时分类，恒星活动时间序列的隐马尔可夫模型，以及小型高维数据集缺失数据的处理。会议将特别强调解决新兴的虚拟天文台的需要。更广泛的影响包括在本地和网络上开发和提供夏季教程，提供对高级统计程序的改进访问，主持活跃的合作伙伴，并赞助天文统计会议和会议。短期强化课程将有助于培养研究生和年轻研究人员：统计学方面的进展将被纳入实践科学家的工具箱。

AST-0434234BabuA vast range of statistical problems arises in modern astronomical research, particularly due to the flood of data produced by astronomical surveys at many wavebands. Equally important is the great increase in the complexity of the data sets, and while the scientific promise is tremendous, it depends critically on the ability to extract useful knowledge. This is a multifaceted project encompassing interdisciplinary astrostatistical research, with novel educational and outreach efforts. Specific projects include maximum-likelihood and resampling methods, computational algorithms for statistics for extremely large streaming datasets, the real-time classification of variable objects, hidden Markov models for stellar activity time series, and the treatment of missing data from small high-dimensionality datasets. There will be a particular emphasis on addressing the needs of the emerging Virtual Observatory.Broader impacts include the development and offering of summer tutorials, both locally and on the Web, providing improved access to advanced statistical procedures, hosting active associates, and sponsoring astrostatistical conferences and sessions. Short intensive courses will help in training of graduate students and young researchers: advances in statistics will be brought into the toolbox of practicing scientists.