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Reliability prediction of crane brakes based on the bayesian method. [PDF]
Du X +5 more
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Fast efficient coding and sensory adaptation in gain-adaptive recurrent networks. [PDF]
Prat-Carrabin A, Harl MV, Gershman SJ.
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Prior distributions for the bivariate binomial
Biometrika, 1990SUMMARY We derive prior distributions for the bivariate binomial model using Bernardo's (1979) method. These priors are compared to the Jeffreys prior and to a prior proposed by Crowder & Sweeting (1989). The priors possess desirable symmetry properties since we allow them to depend on the parameter of interest.
Nick Polson, Larry Wasserman
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The Uniform Distribution as a Universal Prior
IEEE Transactions on Information Theory, 2004In this correspondence, we discuss the properties of the uniform prior as a universal prior, i.e., a prior that induces a mutual information that is simultaneously close to the capacity for all channels. We determine bounds on the amount of the mutual information loss in using the uniform prior instead of the capacity-achieving prior. Specifically, for
Nadav Shulman, Meir Feder
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Tracking distributions with an overlap prior
2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008Recent studies have shown that embedding similarity/dissimilarity measures between distributions in the variational level set framework can lead to effective object segmentation/tracking algorithms. In this connection, existing methods assume implicitly that the overlap between the distributions of image data within the object and its background has to
Ismail Ben Ayed +2 more
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Sensitivity of Bayes Procedures to the Prior Distribution
Operations Research, 1969In the statistical decision problem, let p0 be a given prior probability distribution and d0 be the Bayes decision function under p0. Our basic approach is to find the nearest distribution to p0 for which the optimal decision function would lead to an expected saving of some fixed amount ϵ over using d0.
Donald A. Pierce, J. Leroy Folks
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