2009 Summer School in Statistical Inference for Astronomers; June 8-13, 2009; Pennsylvania State University, College Park

AST-0915069 Babu 2009天文学家统计暑期班; 2009年6月8日至13日;宾夕法尼亚州立大学，学院公园天文学研究通常涉及天空的成像，光度和光谱调查，产生TB到PB的数据库和十亿物体目录。 虽然科学的前景是巨大的，但实现这些目标关键取决于使用统计推断提取有用的知识，特别是使用先进的统计方法。 由于本科和研究生课程的结构，美国天文学家在统计学方面没有受过良好的训练，他们中的大多数人通过物理科学家编写的书籍学习基本方法。 先进方法的利用率严重不足：统计是一种可用的技术，应该利用它来推进天文学和天体物理学的需求。2009年为年轻天文学家举办的中级统计推断暑期学校有助于缩小这一教育差距，继续由宾夕法尼亚州立大学的小组于2005年发起的为期一周的天文学家统计暑期学校。 学校提供了广泛接触的基本概念和广泛的结果在统计的许多领域的方法。 经验丰富的统计学教授将教授一门创新的课程，并配有应用于天文数据集的软件教程。 这将对许多年轻研究人员的培训产生重大影响。

AST-0915069Babu2009 Summer School in Statistics for Astronomers; June 8-13, 2009; Pennsylvania State University, College ParkAstronomical research often involves imaging, photometric and spectroscopy surveys of the sky producing terabyte to petabyte databases and billion-object catalogs. While the scientific promise is tremendous, achieving the goals depends critically on extraction of useful knowledge using statistical inference, and especially the use of advanced statistical methods. Due to the structure of undergraduate and graduate curricula, U.S. astronomers are not well trained in statistics, and most of them learn elementary methods through books written by and for physical scientists. Advanced methods are badly underutilized: statistics is an available technology that should be tapped to advance the needs of astronomy and astrophysics.The 2009 Summer School for young astronomers in statistical inference at an intermediate level helps to alleviate this educational gap, continuing the intensive week-long Summer Schools in Statistics for Astronomers, initiated in 2005 by the group at Pennsylvania State. The school gives a broad exposure to fundamental concepts and a wide range of resulting methods across many fields of statistics. Experienced statistics professors will teach an innovative curriculum, accompanied by software tutorials with applications to astronomical datasets. This will have a substantial impact on the training of many young researchers.