- Abstract:
-
Some astronomy projects require a blind search through a vast number of hypotheses to detect objects of interest. The number of hypotheses to test can be in the billions. A naive blind search over every single hypothesis would be far too costly computationally. We propose a hierarchical scheme for blind search, using various "resolution" levels. At lower resolution levels, "regions" of interest in the search space are singled out with a low computational cost. These regions are refined at int...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1214/08-AOAS180
-
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- Journal:
- Annals of Applied Statistics
- Volume:
- 3
- Issue:
- 1
- Pages:
- 38-60
- Publication date:
- 2007-12-11
- DOI:
- EISSN:
-
1941-7330
- ISSN:
-
1932-6157
- URN:
-
uuid:b47a5913-3758-49da-a792-03d323d5b634
- Source identifiers:
-
97832
- Local pid:
- pubs:97832
- Copyright date:
- 2007
- Notes:
-
Published in at http://dx.doi.org/10.1214/08-AOAS180 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org)
Journal article
Efficient blind search: Optimal power of detection under computational cost constraints
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