159 citations · 192 across the 5 of their papers we have counts for
5 papers
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling
Rina Foygel Barber, Lucas Janson
Goodness-of-fit (GoF) testing is ubiquitous in statistics, with direct ties to model selection, confidence interval construction, conditional independence testing, and multiple tes…
The knockoff filter for FDR control in group-sparse and multitask regression
Ran Dai, Rina Foygel Barber
We propose the group knockoff filter, a method for false discovery rate control in a linear regression setting where the features are grouped, and we would like to select a set of…
An algorithm for constrained one-step inversion of spectral CT data
Rina Foygel Barber, Emil Y. Sidky, Taly Gilat Schmidt +1
We develop a primal-dual algorithm that allows for one-step inversion of spectral CT transmission photon counts data to a basis map decomposition. The algorithm allows for image co…
EigenPrism: Inference for High-Dimensional Signal-to-Noise Ratios
Lucas Janson, Rina Foygel Barber, Emmanuel Candès
Consider the following three important problems in statistical inference, namely, constructing confidence intervals for (1) the error of a high-dimensional () regression estim…
The log-shift penalty for adaptive estimation of multiple Gaussian graphical models
Yuancheng Zhu, Rina Foygel Barber
Sparse Gaussian graphical models characterize sparse dependence relationships between random variables in a network. To estimate multiple related Gaussian graphical models on the s…