Results 71 to 80 of about 8,843 (310)
Bayesian Estimation for Two Parameters of Gamma Distribution Under Precautionary Loss Function
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2019 In the current study, the researchers have been obtained Bayes estimators for the shape and scale parameters of Gamma distribution under the precautionary loss function, assuming the priors, represented by Gamma and Exponential priors for the shape and ...
Loaiy F. Naji, Huda Abdullah Rasheed
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Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators
IEEE Access, 2020 Of numerous proposals for weakening the attribute independence assumption of Naive Bayes, averaged one-dependence estimators (AODE) learns by extrapolation from marginal to full-multivariate probability distributions, and has demonstrated reasonable ...
Limin Wang +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
On Hybrid Censored Inverse Lomax Distribution: Application to the Survival Data
Statistica, 2016 In this paper, we proposed the estimation procedures to estimate the unknown parameters, reliability and hazard functions of Inverse Lomax distribution.
Abhimanyu Singh Yadav +2 more
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Bayes Estimates for the Linear Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1972 Summary The usual linear statistical model is reanalyzed using Bayesian methods and the concept of exchangeability. The general method is illustrated by applications to two-factor experimental designs and multiple regression.
Lindley, D. V., Smith, A. F. M.
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Bayes linear covariance matrix adjustment [PDF]
, 1995 In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
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Estimating rate of occurrence of rare events with empirical Bayes : a railway application
, 2007 Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim +2 more
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Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree +9 more
wiley +1 more source
An empirical Bayes estimation problem [PDF]
Proceedings of the National Academy of Sciences, 1980 Let x be a random variable such that, given θ, x is Poisson with mean θ, while θ has an unknown prior distribution G . In many statistical problems one wants to estimate as accurately as possible the parameter E (θǀ x =
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"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
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