TY - GEN
T1 - Astronomical transient detection controlling the false discovery rate
AU - Clements, Nicolle
AU - Sarkar, Sanat K.
AU - Guo, Wenge
N1 - Funding Information:
The authors would like to thank Eric Feigelson for acclimating us to transient detection methodology and the goals of astronomical research, Peter Nugent for supplying the PTF data, and Peter Freeman for his commentary regarding the False Cluster Proportion methodology. The research of Sarkar and Guo were supported by NSF Grants DMS-1006344 and DMS-1006021 respectively.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
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U2 - 10.1007/978-1-4614-3520-4_36
DO - 10.1007/978-1-4614-3520-4_36
M3 - Conference contribution
AN - SCOPUS:84896607774
SN - 9781461435198
T3 - Lecture Notes in Statistics
SP - 383
EP - 396
BT - Statistical Challenges in Modern Astronomy V
PB - Springer Science and Business Media, LLC
T2 - 5th Statistical Challenges in Modern Astronomy Symposium, SCMA 2011
Y2 - 13 June 2011 through 15 June 2011
ER -