Results 61 to 70 of about 44,901 (263)
How to carry out the research on the life and reliability of smart electricity meters (SEMs) with the help of typical environmental test bases is a hot and challenging issue in the current industry.
ZHANG Wei, LI Ning, CHEN Min, HE Shuai
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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
In the Bayesian estimation method for the parameters of random distributions, the process of selecting hyperparameters for the prior distributions is one of the important and complex matters that determine the efficiency of the estimation.
M. Nagy
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Bayes Estimates for the Linear Model
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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Frequentist standard errors of Bayes estimators [PDF]
Frequentist standard errors are a measure of uncertainty of an estimator, and the basis for statistical inferences. Frequestist standard errors can also be derived for Bayes estimators. However, except in special cases, the computation of the standard error of Bayesian estimators requires bootstrapping, which in combination with Markov chain Monte ...
DongHyuk Lee +2 more
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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
An empirical Bayes estimation problem [PDF]
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
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Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
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Analysis of the Use of Background Distribution for Naive Bayes Classifiers
The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel +2 more
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Bayesian Estimation of the Exponential Parameter under a Multiply Type-II Censoring Scheme
This paper provides the estimation of the scale parameter of the exponential distribution under multiply type-II censoring. Using generalized non-informative prior and natural conjugate prior, Bayes estimator and approximate Bayes estimators of the scale
Umesh Singh, Anil Kumar
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