Results 11 to 20 of about 1,393,311 (289)
Prior Distributions for Objective Bayesian Analysis [PDF]
Bayesian Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Consonni, Guido +3 more
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Posterior propriety of an objective prior for generalized hierarchical normal linear models
Statistical Theory and Related Fields, 2022 Bayesian Hierarchical models has been widely used in modern statistical application. To deal with the data having complex structures, we propose a generalized hierarchical normal linear (GHNL) model which accommodates arbitrarily many levels, usual ...
Cong Lin, Dongchu Sun, Chengyuan Song
doaj +1 more source
Aerospace, 2023 Airspace sectorization is a powerful means to balance the increasing air traffic flow and limited airspace resources, which is related to the efficiency and safety of operations.
Weining Zhang +4 more
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PLoS ONE, 2022 Background Lactate dehydrogenase (LDH) reflects tumor burden and is a prognosticator of all-cause mortality in patients with cancer. Objective measures of physical function are associated with clinically relevant outcomes in older adults with cancer ...
Efthymios Papadopoulos +3 more
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Objective Bayesian Estimation for Tweedie Exponential Dispersion Process
Mathematics, 2021 An objective Bayesian method for the Tweedie Exponential Dispersion (TED) process model is proposed in this paper. The TED process is a generalized stochastic process, including some famous stochastic processes (e.g., Wiener, Gamma, and Inverse Gaussian ...
Weian Yan +3 more
doaj +1 more source
Bayesian Analysis, 2015 In multi-parameter models, reference priors typically depend on the parameter or quantity of interest, and it is well known that this is necessary to produce objective posterior distributions with optimal properties. There are, however, many situations where one is simultaneously interested in all the parameters of the model or, more realistically, in ...
Berger, James O. +2 more
openaire +3 more sources
On the use of non-local prior densities in Bayesian hypothesis tests [PDF]
, 2010 We examine philosophical problems and sampling deficiencies that are associated with current Bayesian hypothesis testing methodology, paying particular attention to objective Bayes methodology.
Valen E. Johnson +4 more
core +1 more source
Semantic segmentation priors for object discovery [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component
Germán Martín García +5 more
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Application of Bayesian Decision Theory Based on Prior Information in the Multi-Objective Optimization Problem [PDF]
International Journal of Computational Intelligence Systems, 2010 General multi-objective optimization methods are hard to obtain prior information, how to utilize prior information has been a challenge. This paper analyzes the characteristics of Bayesian decision-making based on maximum entropy principle and prior ...
Xia Lei, Maozhu Jin, Qiang Wang
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Salient Object Detection with Semantic Priors [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research. In this paper, we propose integrating semantic priors into the salient object detection process. Our algorithm consists of three basic steps.
Tam V. Nguyen 0002, Luoqi Liu
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