Results 41 to 50 of about 814,331 (167)
Some results of classification problem by Bayesian method and application in credit operation
Statistical Theory and Related Fields, 2018 This study proposes some results in classifying by Bayesian method. There are upper and lower bounds of the Bayes error as well as its determination in case of one dimension and multi-dimensions.
Tai Vovan
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IEEE Access, 2022 To address the problem of low efficiency of the existing hill-climbing algorithm in Bayesian network structure learning, this paper proposes a Bayesian network structure learning algorithm based on probabilistic incremental analysis and constraints.
Haoran Liu +7 more
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Frequentist and Bayesian measures of confidence via multiscale bootstrap for testing three regions
, 2008 A new computation method of frequentist $p$-values and Bayesian posterior probabilities based on the bootstrap probability is discussed for the multivariate normal model with unknown expectation parameter vector.
B. Efron +15 more
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New Bayesian method for multiextremal optimization
Computational Science and Techniques, 2020 This paper is focused on the Bayes approach to multiextremal optimization problems, based on modelling the objective function by Gaussian random field (GRF) and using the Euclidean distance matrices with fractional degrees for presenting GRF covariances.
Natalija Pozniak, Leonidas Sakalauskas
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An effective likelihood-free approximate computing method with statistical inferential guarantees [PDF]
, 2018 Approximate Bayesian computing is a powerful likelihood-free method that has grown increasingly popular since early applications in population genetics.
Li, Wentao +2 more
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A comparison of Bayesian and Fourier methods for frequency determination in asteroseismology
, 2010 Bayesian methods are becoming more widely used in asteroseismic analysis. In particular, they are being used to determine oscillation frequencies, which are also commonly found by Fourier analysis.
Bedding, Timothy R. +4 more
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An Inferential Naivety Model for Agents’ Learning in Social Networks
International Journal of Information and Communication Technology Research, 2021 We proposed a model of learning and belief formation in which a group of agents tries to learn the true underlying state of the world and make the best possible decisions.
Zeinab Rezaei +2 more
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E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter.
Rashad Mohamed EL-Sagheer
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Bayesian Quantile Regression for Single-Index Models
, 2011 Using an asymmetric Laplace distribution, which provides a mechanism for Bayesian inference of quantile regression models, we develop a fully Bayesian approach to fitting single-index models in conditional quantile regression.
Gramacy, Robert B. +2 more
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مجله دانشکده پزشکی اصفهان, 2019 Background: Breast cancer is the second leading cause of death from cancer among women, and many factors are involved in its creation. The purpose of this study was to evaluate the effect of tumor markers on the survival of women with this cancer using ...
Morteza Mohammadzadeh +4 more
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