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Empirical Bayes Thresholding and Related Methods

Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions

Methods for Adaptive Shrinkage, using Empirical Bayes

Sum of Single Effects Linear Regression

Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data

Multivariate Adaptive Shrinkage

Multiple Regression with Multivariate Adaptive Shrinkage

Solve the Empirical Bayes Normal Means Problem

Large-Scale Bayesian Variable Selection Using Variational Methods

Smoothing by Adaptive Shrinkage