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In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference

In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference

16 May 2017
Sen Zhao
Daniela Witten
Ali Shojaie
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Papers citing "In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference"

5 / 5 papers shown
Title
Subset selection for linear mixed models
Subset selection for linear mixed models
Daniel R. Kowal
14
3
0
27 Jul 2021
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Liao Zhu
R. Jarrow
M. Wells
16
14
0
09 Nov 2020
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor
  Model
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model
Liao Zhu
Sumanta Basu
R. Jarrow
M. Wells
16
23
0
23 Apr 2018
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
109
160
0
17 Jan 2013
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
129
215
0
02 Jan 2008
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