Results 11 to 20 of about 36,386 (165)
Countable spaces and common priors [PDF]
International Journal of Game Theory, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ziv Hellman
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Image inpainting via progressive decoder and gradient guidance
Complex & Intelligent Systems, 2023 Very recently, with the widespread research of deep learning, its achievements are increasingly evident in image inpainting tasks. However, many existing multi-stage methods fail to effectively inpainting the larger missing areas, their common drawback ...
Shuang Hou +5 more
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Common Priors Under Endogenous Uncertainty
SSRN Electronic Journal, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guarino P., Tsakas E.
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Robust Equilibria under Non-Common Priors [PDF]
SSRN Electronic Journal, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oyama, Daisuke, Tercieux, Olivier
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A Two-Stage Network for Image Deblurring
IEEE Access, 2021 Blind deblurring is a typical challenge in image processing, carried out to correct various complex types of distortions that occur in the real world. Although learning-based deblurring methods have substantially outperformed the traditional algorithms ...
Ze Pan, Qunbo Lv, Zheng Tan
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The Prior Can Often Only Be Understood in the Context of the Likelihood
Entropy, 2017 A key sticking point of Bayesian analysis is the choice of prior distribution, and there is a vast literature on potential defaults including uniform priors, Jeffreys’ priors, reference priors, maximum entropy priors, and weakly informative priors. These
Andrew Gelman +2 more
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The impact of spatial scales and spatial smoothing on the outcome of bayesian spatial model. [PDF]
PLoS ONE, 2013 Discretization of a geographical region is quite common in spatial analysis. There have been few studies into the impact of different geographical scales on the outcome of spatial models for different spatial patterns.
Su Yun Kang +2 more
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Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand [PDF]
PeerJ, 2022 Rainfall fluctuation makes precipitation and flood prediction difficult. The coefficient of variation can be used to measure rainfall dispersion to produce information for predicting future rainfall, thereby mitigating future disasters.
Noppadon Yosboonruang +2 more
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Characterizing the Common Prior Assumption [PDF]
Journal of Economic Theory, 2001 This paper provides a thorough theoretical investigation on the logical characterizations of the Common Prior Assumption (CPA). CPA has played a prominent role in economic theory, its essential meaning being that differences in beliefs among agents can be completely explained by differences in information they received. Using classical tools from modal
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Ambiguous language and common priors [PDF]
Games and Economic Behavior, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Halpern, J, Kets, W
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