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1605.03321
Cited By
Tuning parameter selection in high dimensional penalized likelihood
11 May 2016
Yingying Fan
C. Tang
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Papers citing
"Tuning parameter selection in high dimensional penalized likelihood"
10 / 10 papers shown
Title
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Haobo Chen
Yuheng Bu
Greg Wornell
21
1
0
08 Jun 2023
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen
Ruipeng Dong
Xueqin Wang
Weiyu Li
Heping Zhang
14
0
0
29 Nov 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
25
0
0
13 Jul 2022
Forecasting: theory and practice
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
...
J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
28
362
0
04 Dec 2020
A Survey of Tuning Parameter Selection for High-dimensional Regression
Y. Wu
Lan Wang
29
35
0
10 Aug 2019
Tuning parameter selection rules for nuclear norm regularized multivariate linear regression
Pan Shang
Lingchen Kong
13
1
0
19 Jan 2019
Model selection with lasso-zero: adding straw to the haystack to better find needles
Pascaline Descloux
S. Sardy
29
10
0
14 May 2018
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso
D. Müller
C. Czado
16
15
0
15 Sep 2017
Forward-Backward Selection with Early Dropping
Giorgos Borboudakis
Ioannis Tsamardinos
16
95
0
30 May 2017
Model Selection Principles in Misspecified Models
Jinchi Lv
Jun S. Liu
67
140
0
29 May 2010
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