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Can we trust the bootstrap in high-dimension?

Can we trust the bootstrap in high-dimension?

2 August 2016
N. Karoui
E. Purdom
ArXivPDFHTML

Papers citing "Can we trust the bootstrap in high-dimension?"

7 / 7 papers shown
Title
Certified Data Removal Under High-dimensional Settings
Certified Data Removal Under High-dimensional Settings
Haolin Zou
Arnab Auddy
Yongchan Kwon
Kamiar Rahnama Rad
A. Maleki
MU
39
0
0
12 May 2025
Modelling Sampling Distributions of Test Statistics with Autograd
Modelling Sampling Distributions of Test Statistics with Autograd
A. A. Kadhim
Harrison B. Prosper
27
0
0
03 May 2024
Sequential Gibbs Posteriors with Applications to Principal Component
  Analysis
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Steven Winter
Omar Melikechi
David B. Dunson
19
2
0
19 Oct 2023
Convergence of uncertainty estimates in Ensemble and Bayesian sparse
  model discovery
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery
Liyao (Mars) Gao
Urban Fasel
Steven L. Brunton
J. Nathan Kutz
24
12
0
30 Jan 2023
Asymptotics For High Dimensional Regression M-Estimates: Fixed Design
  Results
Asymptotics For High Dimensional Regression M-Estimates: Fixed Design Results
Lihua Lei
Peter J. Bickel
N. Karoui
24
39
0
19 Dec 2016
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free
  Inference
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference
Alessandro Rinaldo
Larry A. Wasserman
M. G'Sell
Jing Lei
24
92
0
16 Nov 2016
The bootstrap, covariance matrices and PCA in moderate and
  high-dimensions
The bootstrap, covariance matrices and PCA in moderate and high-dimensions
N. Karoui
E. Purdom
20
16
0
02 Aug 2016
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