1.9k citations · 7.2k across the 82 of their papers we have counts for
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A Selective Approach to Internal Inference
Samuel M. Gross, Jonathan Taylor, Robert Tibshirani
A common goal in modern biostatistics is to form a biomarker signature from high dimensional gene expression data that is predictive of some outcome of interest. After learning thi…
Rejoinder: "A significance test for the lasso"
Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani +1
Rejoinder of "A significance test for the lasso" by Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, Robert Tibshirani [arXiv:1301.7161].
Sequential Selection Procedures and False Discovery Rate Control
Max Grazier G'Sell, Stefan Wager, Alexandra Chouldechova +1
We consider a multiple hypothesis testing setting where the hypotheses are ordered and one is only permitted to reject an initial contiguous block, H_1,\dots,H_k, of hypotheses. A…
Adaptive testing for the graphical lasso
Max Grazier G'Sell, Jonathan Taylor, Robert Tibshirani
We consider tests of significance in the setting of the graphical lasso for inverse covariance matrix estimation. We propose a simple test statistic based on a subsequence of the k…
A significance test for the lasso
Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani +1
In the sparse linear regression setting, we consider testing the significance of the predictor variable that enters the current lasso model, in the sequence of models visited along…
Discussion: The Dantzig selector: Statistical estimation when is much larger than
Bradley Efron, Trevor Hastie, Robert Tibshirani
Discussion of ``The Dantzig selector: Statistical estimation when is much larger than '' [math/0506081]