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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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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Bayesian reanalysis of early remdesivir for the treatment of COVID-19 in outpatients with high risk of progression to severe disease. [PDF]
PLoS ONEBackgroundThough Bayesian methods are flexible, intuitive, and readily incorporated into clinical decision-making, with particular utility when prior information is available, they remain underutilized in the analysis of clinical trials.MethodsIn ...
Mazin Abdelghany +3 more
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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.
James O Berger +2 more
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Enhancing Bone Conduction Sensor Signals via Self-Supervised Acoustic Priors and Key-Value Memory [PDF]
SensorsBone conduction (BC) sensors naturally resist ambient noise, but the captured speech suffers from severe high-frequency attenuation due to the low-pass filtering characteristics of body tissue.
Changyan Zheng +6 more
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On Divergence Measures Leading to Jeffreys and Other Reference Priors
Bayesian Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tapas Samanta, Jayanta K Ghosh
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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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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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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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