575 citations · 929 across the 52 of their papers we have counts for
5 papers · 1 filter
The p-filter: multi-layer FDR control for grouped hypotheses
Rina Foygel Barber, Aaditya Ramdas
In many practical applications of multiple hypothesis testing using the False Discovery Rate (FDR), the given hypotheses can be naturally partitioned into groups, and one may not o…
MOCCA: mirrored convex/concave optimization for nonconvex composite functions
Rina Foygel Barber, Emil Y. Sidky
Many optimization problems arising in high-dimensional statistics decompose naturally into a sum of several terms, where the individual terms are relatively simple but the composit…
Accumulation tests for FDR control in ordered hypothesis testing
Ang Li, Rina Foygel Barber
Multiple testing problems arising in modern scientific applications can involve simultaneously testing thousands or even millions of hypotheses, with relatively few true signals. I…
Laplace Approximation in High-dimensional Bayesian Regression
Rina Foygel Barber, Mathias Drton, Kean Ming Tan
We consider Bayesian variable selection in sparse high-dimensional regression, where the number of covariates may be large relative to the samples size , but at most a moder…
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models
Rina Foygel Barber, Mladen Kolar
Undirected graphical models are used extensively in the biological and social sciences to encode a pattern of conditional independences between variables, where the absence of an e…