Results 11 to 20 of about 1,930,208 (286)
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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Low light image enhancement based on non‐uniform illumination prior model [PDF]
IET Image Processing, 2019 Images captured under low‐light conditions are often of low visibility. To improve visualisation, a novel low light image enhancement method is presented based on the non‐uniform illumination prior model. First, the k ‐means method is used to process the value channel in the hue‐saturation ...
Yahong Wu +3 more
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Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior
IEEE Transactions on Circuits and Systems for Video TechnologyUnderwater image quality is seriously degraded due to the insufficient light in water. Although artificial illumination can assist imaging, it often brings non-uniform illumination phenomenon. To this end, we develop an illumination channel sparsity prior (ICSP) guided variational framework for non-uniform Illumination underwater image restoration ...
Guojia Hou +5 more
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Approximate uniform shrinkage prior for a multivariate generalized linear mixed model
Journal of Multivariate Analysis, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Hsiang-Chun, Wehrly, Thomas E.
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BMC Bioinformatics, 2021 Background Reproducible benchmarking is important for assessing the effectiveness of novel feature selection approaches applied on gene expression data, especially for prior knowledge approaches that incorporate biological information from online ...
Cindy Perscheid
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Functional Uniform Priors for Nonlinear Modeling [PDF]
Biometrics, 2012 SummaryThis article considers the topic of finding prior distributions when a major component of the statistical model depends on a nonlinear function. Using results on how to construct uniform distributions in general metric spaces, we propose a prior distribution that is uniform in the space of functional shapes of the underlying nonlinear function ...
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Aquaculture and Fisheries, 2021 The neon flying squid (Ommastrephes bartramii) in the Northwest Pacific Ocean is one economically important cephalopod, largely exploited by squid jigging fleets from Chinese Mainland, Japan, and Chinese Taibei.
Jinli Liu +5 more
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Posterior propriety in Bayesian extreme value analyses using reference priors [PDF]
, 2015 The Generalized Pareto (GP) and Generalized extreme value (GEV) distributions play an important role in extreme value analyses, as models for threshold excesses and block maxima respectively. For each of these distributions we consider Bayesian inference
Attalides, Nicolas, Northrop, Paul J.
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Deriving proper uniform priors for regression coefficients, part II [PDF]
AIP Conference Proceedings, 2017 It is a relatively well-known fact that in problems of Bayesian model selection improper priors should, in general, be avoided. In this paper we derive a proper and parsimonious uniform prior for regression coefficients. We then use this prior to derive the corresponding evidence values of the regression models under consideration.
van Erp, H. R. N. +2 more
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Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal [PDF]
, 2015 In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabilistic distribution of motion blur at the patch level using a convolutional ...
Cao, Wenfei +3 more
core +5 more sources