ComBat Harmonization: Empirical Bayes versus fully Bayes approaches [PDF]
NeuroImage: Clinical, 2023 Studying small effects or subtle neuroanatomical variation requires large-scale sample size data. As a result, combining neuroimaging data from multiple datasets is necessary.
Maxwell Reynolds +4 more
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Empirical Bayes factors for common hypothesis tests. [PDF]
PLoS ONEBayes factors for composite hypotheses have difficulty in encoding vague prior knowledge, as improper priors cannot be used and objective priors may be subjectively unreasonable.
Frank Dudbridge
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An Efficient Score Test Integrated with Empirical Bayes for Genome-Wide Association Studies [PDF]
Frontiers in Genetics, 2021 Many methods used in multi-locus genome-wide association studies (GWAS) have been developed to improve statistical power. However, most existing multi-locus methods are not quicker than single-locus methods.
Jing Xiao +3 more
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Empirical Bayes Conditional Density Estimation
Statistica, 2015 The problem of nonparametric estimation of the conditional density of a response, given a vector of explanatory variables, is classical and of prominent importance in many prediction problems since the conditional density provides a more comprehensive ...
Catia Scricciolo
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Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning [PDF]
Entropy, 2021 It is desirable to combine the expressive power of deep learning with Gaussian Process (GP) in one expressive Bayesian learning model. Deep kernel learning showed success as a deep network used for feature extraction.
Chi-Ken Lu, Patrick Shafto
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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
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EbayesThresh: R Programs for Empirical Bayes Thresholding [PDF]
Journal of Statistical Software, 2005 Suppose that a sequence of unknown parameters is observed sub ject to independent Gaussian noise. The EbayesThresh package in the S language implements a class of Empirical Bayes thresholding methods that can take advantage of possible sparsity in the ...
Bernard W. Silverman, Iain M. Johnstone
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An empirical Bayes approach to improving population-specific genetic association estimation by leveraging cross-population data. [PDF]
Genet Epidemiol, 2023 Hsu L +3 more
europepmc +3 more sources
EBCR: Empirical Bayes concordance ratio method to improve similarity measurement in memory-based collaborative filtering. [PDF]
PLoS One, 2021 Du Y +3 more
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LimROTS: a hybrid method integrating empirical Bayes and reproducibility-optimized statistics for robust differential expression analysis. [PDF]
BioinformaticsAnwar AM, Jeba A, Lahti L, Coffey E.
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