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stat.ME2025
Post-selection Inference in Regression Models for Group Testing Data
Qinyan Shen, Karl Gregory, Xianzheng Huang
We develop methodology for valid inference after variable selection in logistic regression when the responses are partially observed, that is, when one observes a set of error-pron…
stat.ME2020
High-Dimensional Inference Based on the Leave-One-Covariate-Out LASSO Path
Xiangyang Cao, Karl Gregory, Dewei Wang
We propose a new measure of variable importance in high-dimensional regression based on the change in the LASSO solution path when one covariate is left out. The proposed procedure…
stat.ME2017★ 3 cited
Perturbation Bootstrap in Adaptive Lasso
Debraj Das, Karl Gregory, S. N. Lahiri
The Adaptive Lasso(Alasso) was proposed by Zou [\textit{J. Amer. Statist. Assoc. \textbf{101} (2006) 1418-1429}] as a modification of the Lasso for the purpose of simultaneous vari…