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Reference guided CS-MRI with gradient orientation priors
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015The theory of Compressed sensing (CS) provides a systematic framework for MR image reconstruction from under-sampled k-space data. However, severe aliasing artifacts still occurs in the case of high acceleration. Thereupon, an extensive body of works investigates exploiting additional prior information extracted from a reference image which can be ...
Xi Peng 0004 +3 more
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Reference priors in multiparameter nonregular cases
Test, 1997A reference prior is suggested in some multiparameter non-regular cases. It is based on an asymptotic expansion of Lindley's measure of information [\textit{D. V. Lindley}, Ann. Math. Statistics 27, 986-1005 (1956; Zbl 0073.14103)] which is the expected Kullback-Leibler divergence between the posterior and prior.
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Reference Priors in a Variance Components Problem
1992The ordered group reference prior algorithm of Berger and Bernardo (1989b) is applied to the balanced variance components problem. Besides the intrinsic interest of developing good noninformative priors for the variance components problem, a number of theoretically interesting issues arise in application of the proposed procedure.
James O. Berger, José M. Bernardo
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A note on reference priors for the scalar skew-normal distribution
Journal of Statistical Planning and Inference, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LISEO, Brunero, LOPERFIDO N.
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Reference priors for shrinkage and smoothing parameters
Journal of Statistical Planning and Inference, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A reference prior for the analysis of a response surface
Journal of Statistical Planning and Inference, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Reference priors based on composite likelihoods [PDF]
In this paper we propose reference priors obtained by maximizing the average adivergence from the posterior distribution, when the latter is computed using a composite likelihood.
GIUMMOLE', Federica +2 more
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Invariance of the reference prior under reparametrization
Test, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Reference priors for Bayesian fisheries models
Canadian Journal of Fisheries and Aquatic Sciences, 2002Bayesian models require the specification of prior distributions for all unknown parameters, and this formal utilization of prior knowledge (if any) can be used to great advantage in some fisheries. However, regardless of whether prior knowledge about model parameters is available, specification of prior distributions is seldom unequivocal.
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