Results 1 to 10 of about 6,276,717 (200)
Standard Error of Empirical Bayes Estimate in NONMEM® VI. [PDF]
Korean J Physiol Pharmacol, 2012 The pharmacokinetics/pharmacodynamics analysis software NONMEM® output provides model parameter estimates and associated standard errors. However, the standard error of empirical Bayes estimates of inter-subject variability is not available. A simple and
Kang D +4 more
europepmc +2 more sources
An improved Bayes empirical Bayes estimator [PDF]
International Journal of Mathematics and Mathematical Sciences, 2003 Consider an experiment yielding an observable random quantity X whose distribution Fθ depends on a parameter θ with θ being distributed according to some distribution G0.
R. J. Karunamuni, N. G. N. Prasad
doaj +2 more sources
Bayes estimate of primary threshold in clusterwise functional magnetic resonance imaging inferences [PDF]
Statistics in Medicine, 2021 Elliot Hong +2 more
exaly +2 more sources
Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm
Image Processing On Line, 2013 This article presents a detailed implementation of the Non-Local Bayes (NL-Bayes) image denoising algorithm. In a nutshell, NL-Bayes is an improved variant of NL-means.
Marc Lebrun +2 more
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Robust Bayes-like estimation: Rho-Bayes estimation [PDF]
The Annals of Statistics, 2020 68 ...
Baraud, Yannick, Birgé, Lucien
openaire +6 more sources
Using MCMC chain outputs to efficiently estimate Bayes factors
Journal of Mathematical Psychology, 2011 Richard Morey +2 more
exaly +2 more sources
Likelihood-Free Parameter Estimation with Neural Bayes Estimators [PDF]
American Statistician, 2022 Neural Bayes estimators are neural networks that approximate Bayes estimators. They are fast, likelihood-free, and amenable to rapid bootstrap-based uncertainty quantification.
Matthew Sainsbury-Dale +2 more
semanticscholar +1 more source
Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia [PDF]
Revista Mvz Cordoba, 2015 Objetive. To estimate and compare breeding values (EBV) using the conventional method (BLUP) and genomic breeding values (MEBV and GEBV) estimated through bayes C method for milk yield and milk quality traits in dairy cattle in Antioquia, Colombia ...
Juan Zambrano A +3 more
doaj +2 more sources
Media Statistika, 2021 Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive ...
Ferra Yanuar +2 more
doaj +1 more source
Bayes Estimators for Phylogenetic Reconstruction [PDF]
Systematic Biology, 2011 Tree reconstruction methods are often judged by their accuracy, measured by how close they get to the true tree. Yet most reconstruction methods like ML do not explicitly maximize this accuracy. To address this problem, we propose a Bayesian solution.
Peter Huggins +5 more
openaire +3 more sources