JSTOR Daily

On the Empirical Bayes Approach to Multiple Decision Problems

The Annals of Statistics, Vol. 5, No. 1 (Jan., 1977), pp. 172-181 (10 pages) In the empirical Bayes approach to multiple decision problems, we obtain theorems and lemmas which can be used to obtain ...
JSTOR Daily

An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments

A common goal of microarray and related high-throughput genomic experiments is to identify genes that vary across biological condition. Most often this is accomplished by identifying genes with ...
Nature

Mixed linear model approach adapted for genome-wide association studies

Mixed linear model (MLM) methods have proven useful in controlling for population structure and relatedness within genome-wide association studies. However, MLM-based methods can be computationally ...
uni

Empirical risk minimization

The expected risk, however, cannot be calculated without knowledge of the true . In contrast to the Bayesian approach of modeling the Frequentist approach approximates the expected risk by the ...
Risk

Bayesian analysis in an aggregate loss model: validation of the structure functions

The aggregate loss, S, is the sum of the individual claim sizes, ie, S=∑i=1KXi for K>0, and S=0 for K=0. The distributions of K and Xi are termed the primary distribution and the secondary ...