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1404.2007
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A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection
8 April 2014
Jeremy A. Sabourin
W. Valdar
A. Nobel
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Papers citing
"A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection"
8 / 8 papers shown
Title
Simulation-calibration testing for inference in Lasso regressions
Matthieu Pluntz
Cyril Dalmasso
Pascale Tubert-Bitter
Ismail Ahmed
60
0
0
03 Sep 2024
Analyzing Highly Correlated Chemical Toxicants Associated with Time to Pregnancy Using Discrete Survival Frailty Modeling Via Elastic Net
Abhisek Saha
R. Sundaram
44
1
0
06 Dec 2021
Prediction Error Bounds for Linear Regression With the TREX
Jacob Bien
Irina Gaynanova
Johannes Lederer
Christian L. Müller
63
18
0
04 Jan 2018
Likelihood test in permutations with bias. Premier League and La Liga: surprises during the last 25 seasons
Giacomo Aletti
39
0
0
23 Jul 2017
Tuning parameter calibration for
ℓ
1
\ell_1
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1
-regularized logistic regression
Wei Li
Johannes Lederer
76
13
0
01 Oct 2016
Selective sampling after solving a convex problem
Xiaoying Tian Harris
Snigdha Panigrahi
J. Marković
Nan Bi
Jonathan E. Taylor
97
43
0
19 Sep 2016
Optimal Two-Step Prediction in Regression
Didier Chételat
Johannes Lederer
Joseph Salmon
118
19
0
18 Oct 2014
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees
M. Chichignoud
Johannes Lederer
Martin J. Wainwright
80
13
0
01 Oct 2014
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