1 citations · 1 across the 2 of their papers we have counts for
4 papers
Constructing and extending = 1 Bayesian confidence intervals for location parameters in location-scale families
David Gerard
It is a surprising, modestly known fact that when given a single observation from a normal distribution with unknown mean and unknown variance, valid and non-trivial confidence int…
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…
Empirical Bayes Shrinkage and False Discovery Rate Estimation, Allowing For Unwanted Variation
David Gerard, Matthew Stephens
We combine two important ideas in the analysis of large-scale genomics experiments (e.g. experiments that aim to identify genes that are differentially expressed between two condit…
Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
David Gerard, Matthew Stephens
Unwanted variation, including hidden confounding, is a well-known problem in many fields, particularly large-scale gene expression studies. Recent proposals to use control genes --…