Results 1 to 10 of about 4,099,878 (253)
Reference Priors Versus Reverse Reference Priors: The Role of Invariance [PDF]
The Egyptian Statistical Journal, 2000 In this article, I investigate two classes of noninformative priors: the reference priors of Berger and Bernardo and the reverse reference priors attributed to J.K. Ghosh.
Erhard Reschenhofer
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The Formal Definition of Reference Priors
Annals of Statistics, 2009 Reference analysis produces objective Bayesian inference, in the sense that inferential statements depend only on the assumed model and the available data, and the prior distribution used to make an inference is least informative in a certain information-theoretic sense.
Dongchu Sun +2 more
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Bayesian Analysis of Unit Log-Logistic Distribution Using Non-Informative Priors
Mathematics, 2023 The unit log-logistic distribution is a suitable choice for modeling data enclosed within the unit interval. In this paper, estimating the parameters of the unit-log-logistic distribution is performed through a Bayesian approach with non-informative ...
Mohammed K. Shakhatreh +1 more
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Robust Spatial-Temporal Motion Coherent Priors for Multi-View Video Coding Artifact Reduction
IEEE Access, 2023 Multi-view video (MVV) data processed by three-dimensional (3D) video systems often suffer from compression artifacts, which can degrade the rendering quality of 3D spaces.
Gyulee Jeon +4 more
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Bayesian analysis for the Lomax model using noninformative priors
Statistical Theory and Related Fields, 2023 The Lomax distribution is an important member in the distribution family. In this paper, we systematically develop an objective Bayesian analysis of data from a Lomax distribution. Noninformative priors, including probability matching priors, the maximal
Daojiang He, Dongchu Sun, Qing Zhu
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Reference priors with partial information [PDF]
Biometrika, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sun, D., Berger, J. O.
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Approximate reference priors for Gaussian random fields [PDF]
Scandinavian Journal of Statistics, 2022 AbstractReference priors are theoretically attractive for the analysis of geostatistical data since they enable automatic Bayesian analysis and have desirable Bayesian and frequentist properties. But their use is hindered by computational hurdles that make their application in practice challenging.
Victor De Oliveira, Zifei Han
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Current Frame Priors Assisted Neural Network for Intra Prediction
IEEE Access, 2021 Intra prediction is the key technology to reduce spatial redundancy in the modern video coding standard. Recently, deep learning based methods that directly generate the intra prediction by neural network achieve superior performance than traditional ...
Han Zhang, Li Song, Yan Huang, Rong Xie
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BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R
Journal of Statistical Software, 2021 Vector autoregression (VAR) models are widely used for multivariate time series analysis in macroeconomics, finance, and related fields. Bayesian methods are often employed to deal with their dense parameterization, imposing structure on model ...
Nikolas Kuschnig, Lukas Vashold
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Objective bayesian analysis for multiple repairable systems.
PLoS ONE, 2021 This article focus on the analysis of the reliability of multiple identical systems that can have multiple failures over time. A repairable system is defined as a system that can be restored to operating state in the event of a failure.
Amanda M E D'Andrea +8 more
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