Astronomical transient detection controlling the false discovery rate

Nicolle Clements, Sanat K. Sarkar, Wenge Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationStatistical Challenges in Modern Astronomy V
PublisherSpringer Science and Business Media, LLC
Number of pages14
ISBN (Print)9781461435198
StatePublished - 2012
Event5th Statistical Challenges in Modern Astronomy Symposium, SCMA 2011 - University Park, PA, United States
Duration: Jun 13 2011Jun 15 2011

Publication series

NameLecture Notes in Statistics
ISSN (Print)0930-0325
ISSN (Electronic)2197-7186


Other5th Statistical Challenges in Modern Astronomy Symposium, SCMA 2011
Country/TerritoryUnited States
CityUniversity Park, PA

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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