575 citations · 929 across the 52 of their papers we have counts for
5 papers · 1 filter
Trimmed Conformal Prediction for High-Dimensional Models
Wenyu Chen, Zhaokai Wang, Wooseok Ha +1
In regression, conformal prediction is a general methodology to construct prediction intervals in a distribution-free manner. Although conformal prediction guarantees strong statis…
The Function-on-Scalar LASSO with Applications to Longitudinal GWAS
Rina Foygel Barber, Matthew Reimherr, Thomas Schill
We present a new methodology for simultaneous variable selection and parameter estimation in function-on-scalar regression with an ultra-high dimensional predictor vector. We exten…
Selective Inference for Group-Sparse Linear Models
Fan Yang, Rina Foygel Barber, Prateek Jain +1
We develop tools for selective inference in the setting of group sparsity, including the construction of confidence intervals and p-values for testing selected groups of variables.…
Multiple testing with the structure adaptive Benjamini-Hochberg algorithm
Ang Li, Rina Foygel Barber
In multiple testing problems, where a large number of hypotheses are tested simultaneously, false discovery rate (FDR) control can be achieved with the well-known Benjamini-Hochber…
A knockoff filter for high-dimensional selective inference
Rina Foygel Barber, Emmanuel J. Candes
This paper develops a framework for testing for associations in a possibly high-dimensional linear model where the number of features/variables may far exceed the number of observa…