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Application of an estimator-free information criterion (WIC) to aperture synthesis imaging
Published online by Cambridge University Press: 12 April 2016
Abstract
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A statistical criterion for stopping CLEAN procedure is proposed. The criterion is called WIC and an estimator of Kullback-Leibler information quantity which is a measure of the goodness of statistical models. A numerical example is given.
- Type
- Imaging
- Information
- Copyright
- Copyright © Astronomical Society of the Pacific 1991
References
Akaike, H.
1973, In Proc. 2nd Inter. Symp. on Information Theory ed Petyov, B.N. and Csai, F., Akademiai Kiado, Budapest, pp.267–281.Google Scholar
Sakamoto, Y., Ishiguro, M. & Kitagawa, G.
1986, Akaike Information Criterion Statistics, D. Reidel Publishing Company, Dordrecht/Tokyo.Google Scholar
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