ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1404.2007
  4. Cited By
A Permutation Approach for Selecting the Penalty Parameter in Penalized
  Model Selection

A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection

8 April 2014
Jeremy A. Sabourin
W. Valdar
A. Nobel
ArXiv (abs)PDFHTML

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
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
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
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
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 $\ell_1$-regularized logistic
  regression
Tuning parameter calibration for ℓ1\ell_1ℓ1​-regularized logistic regression
Wei Li
Johannes Lederer
76
13
0
01 Oct 2016
Selective sampling after solving a convex problem
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
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
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
1