Astronomical Transient Detection Controlling the False Discovery Rate
Astronomical Transient Detection Controlling the False Discovery Rate
复制标题
天文瞬变检测控制错误发现率
DOI：
10.1007/978-1-4614-3520-4_36
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发表时间：
2012
影响因子：
2.3
通讯作者：
Wenge Guo
中科院分区：
文献类型：
--
作者：
Nicolle Clements;S. Sarkar;Wenge Guo
在天文观测中识别源物体，特别是使用可靠的算法，在大面积调查中极其重要。对于任何源检测算法来说，限制错误检测的数量都非常重要，因为后续调查是及时且昂贵的。在本文中，我们考虑两种新的统计程序来控制组相关数据的错误发现率（FDR）——两阶段 BH 方法和自适应两阶段 BH 方法。出于这样一种信念，假设之间的空间依赖性更多地发生在局部而不是全局，这些程序在包含局部、未知依赖性的组中测试假设。如果发现某个组显着，则对该组内的各个假设进行进一步调查。重要的是，这些方法没有对每组内的假设做出依赖假设。通过模拟研究以及天文源探测数据来检查这两个程序的特性。
Identifying source objects in astronomical observations, in particular with reliable algorithms, is extremely important in large-area surveys. It is of great importance for any source detection algorithm to limit the number of false detections since follow up investigations are timely and costly. In this paper, we consider two new statistical procedures to control the false discovery rate (FDR) for group-dependent data—the two-stage BH method and adaptive two-stage BH method. Motivated by the belief that the spatial dependencies among the hypotheses occur more locally than globally, these procedures test hypotheses in groups that incorporate the local, unknown dependencies. If a group is found significant, further investigation is done to the individual hypotheses within that group. Importantly, these methodologies make no dependence assumption for hypotheses within each group. The properties of the two procedures are examined through simulation studies as well as astronomical source detection data.
影响因子：
0.9
作者：
Sarkar, Sanat K.;Guo, Wenge;Finner, Helmut
通讯作者：
Finner, Helmut