3 citations · 3 across the 4 of their papers we have counts for
5 papers
New explanations and inference for least angle regression
Karl B. Gregory, Daniel J. Nordman
Efron et al. (2004) introduced least angle regression (LAR) as an algorithm for linear predictions, intended as an alternative to forward selection with connections to penalized re…
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…
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…
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…
Statistical inference in sparse high-dimensional additive models
Karl Gregory, Enno Mammen, Martin Wahl
In this paper we discuss the estimation of a nonparametric component of a nonparametric additive model . We allow the number of additive c…