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Debiasing the Debiased Lasso with Bootstrap

Debiasing the Debiased Lasso with Bootstrap

9 November 2017
Sai Li
ArXivPDFHTML

Papers citing "Debiasing the Debiased Lasso with Bootstrap"

3 / 3 papers shown
Title
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
29
1
0
18 Jul 2024
Uncertainty quantification for sparse Fourier recovery
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
29
7
0
30 Dec 2022
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
115
160
0
17 Jan 2013
1