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stat.ME2024
Gradient-based optimization for variational empirical Bayes multiple regression
Saikat Banerjee, Peter Carbonetto, Matthew Stephens
Variational empirical Bayes (VEB) methods provide a practically attractive approach to fitting large, sparse, multiple regression models. These methods usually use coordinate ascen…
stat.ME2024★ 1 cited
Improved methods for empirical Bayes multivariate multiple testing and effect size estimation
Yunqi Yang, Peter Carbonetto, David Gerard +1
Estimating the sharing of genetic effects across different conditions is important to many statistical analyses of genomic data. The patterns of sharing arising from these data are…