Results 71 to 80 of about 212,322 (298)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
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
doaj +1 more source
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
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun +4 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
doaj +1 more source
Multivariate limited translation empirical Bayes estimators
, 2010 The paper develops multivariate limited translation empirical Bayes estimators of the normal mean vector which serve as a compromise between the empirical Bayes and the maximum likelihood estimators.
Papageorgiou, Georgios, Ghosh, M.
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 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
openaire +2 more sources
"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
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source