Uncertainty quantification for radio interferometric imaging: II. MAP estimation
نویسندگان
چکیده
منابع مشابه
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry emerges. Statistical sampling approaches to perform Bayesian inference, like Markov Chain Monte Carlo (MCMC) sampling, can in principle recover the full posterior distribution of the image, from which uncertainties c...
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Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry emerges. Since radio interferometric imaging requires solving a high-dimensional, ill-posed inverse problem, uncertainty quantification is difficult but also critical to the accurate scientific interpretation of radi...
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Rafael E. Carrillo∗, Jason D. McEwen†, and Yves Wiaux∗‡§ ∗ Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. † Department of Physics and Astronomy, University College London, London WC1E 6BT, UK. ‡ Department of Radiology and Medical Informatics, University of Geneva (UniGE), CH-1211 Geneva, Switzerland. § Department of Radiolog...
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2018
ISSN: 0035-8711,1365-2966
DOI: 10.1093/mnras/sty2015