1.9k citations · 3.2k across the 7 of their papers we have counts for
Showing stat.APShow all
3 papers · 1 filter
stat.AP2008★ 22 cited
Testing significance of features by lassoed principal components
Daniela M. Witten, Robert Tibshirani
We consider the problem of testing the significance of features in high-dimensional settings. In particular, we test for differentially-expressed genes in a microarray experiment.…
stat.AP2008★ 28 cited
A study of pre-validation
Holger Höfling, Robert Tibshirani
Given a predictor of outcome derived from a high-dimensional dataset, pre-validation is a useful technique for comparing it to competing predictors on the same dataset. For microar…
stat.AP2008
Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data
Robert Tibshirani
Discussion of "Treelets--An adaptive multi-scale basis for sparse unordered data" [arXiv:0707.0481]