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1605.03321
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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"
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Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property
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Hongmei Lin
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Low-Rank Online Dynamic Assortment with Dual Contextual Information
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Will Wei Sun
Yufeng Liu
262
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Distributed Linear Regression with Compositional Covariates
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Lei Huang
Xuejun Ma
221
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A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models
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Jin Zhu
Junxian Zhu
Xueqin Wang
Heping Zhang
279
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12 Sep 2023
A modelling framework for detecting and leveraging node-level information in Bayesian network inference
Xiaoyue Xi
H. Ruffieux
211
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06 Sep 2023
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique
Junxian Zhu
Jin Zhu
Borui Tang
Xuan-qing Chen
Hongmei Lin
Xueqin Wang
251
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0
01 Aug 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Haobo Chen
Yuheng Bu
Greg Wornell
375
1
0
08 Jun 2023
High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors
J. O. Bauer
185
4
0
29 Nov 2022
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen
Ruipeng Dong
Xueqin Wang
Weiyu Li
Heping Zhang
293
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0
29 Nov 2022
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Emadaldin Mozafari-Majd
V. Koivunen
313
4
0
17 Aug 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
223
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13 Jul 2022
Estimation and Inference with Proxy Data and its Genetic Applications
Sai Li
T. Tony Cai
Hongzhe Li
140
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11 Jan 2022
High-dimensional inference via hybrid orthogonalization
Yang Li
Zemin Zheng
Jia Zhou
Ziwei Zhu
191
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26 Nov 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael
T. Keefe
Naomi Giertych
Jonathan P. Williams
203
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11 Oct 2021
Robust adaptive Lasso in high-dimensional logistic regression
A. Basu
A. Ghosh
M. Jaenada
Leandro Pardo
197
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20 Aug 2021
Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables
Xu Han
Ethan X. Fang
C. Tang
289
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0
16 Jun 2021
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
Computational Statistics & Data Analysis (CSDA), 2021
Ruipeng Dong
Daoji Li
Zemin Zheng
279
6
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11 Apr 2021
RaSE: A Variable Screening Framework via Random Subspace Ensembles
Journal of the American Statistical Association (JASA), 2021
Ye Tian
Yang Feng
222
16
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07 Feb 2021
Forecasting: theory and practice
International Journal of Forecasting (IJF), 2020
F. Petropoulos
D. Apiletti
Vassilios Assimakopoulos
M. Z. Babai
Devon K. Barrow
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J. Arenas
Xiaoqian Wang
R. L. Winkler
Alisa Yusupova
F. Ziel
AI4TS
362
494
0
04 Dec 2020
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
E. Castilla
A. Ghosh
M. Jaenada
Leandro Pardo
307
5
0
31 Jul 2020
Nested Model Averaging on Solution Path for High-dimensional Linear Regression
Yang Feng
Qingfeng Liu
MoMe
308
8
0
16 May 2020
Robust adaptive variable selection in ultra-high dimensional linear regression models
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A. Ghosh
M. Jaenada
Leandro Pardo
329
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0
11 Apr 2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
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Ruipeng Dong
Wanwan Xu
Zemin Zheng
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206
2
0
17 Mar 2020
Tuning-free ridge estimators for high-dimensional generalized linear models
Computational Statistics & Data Analysis (CSDA), 2020
Shih-Ting Huang
Fang Xie
Johannes Lederer
182
6
0
27 Feb 2020
Global Adaptive Generative Adjustment
Bin Wang
Xiaofei Wang
Jianhua Guo
156
1
0
02 Nov 2019
A Survey of Tuning Parameter Selection for High-dimensional Regression
Annual Review of Statistics and Its Application (ARSIA), 2019
Y. Wu
Lan Wang
356
39
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10 Aug 2019
Improving Lasso for model selection and prediction
Scandinavian Journal of Statistics (Scand. J. Stat.), 2019
P. Pokarowski
Wojciech Rejchel
Agnieszka Soltys
Michal Frej
J. Mielniczuk
392
14
0
05 Jul 2019
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors
M. Kubkowski
J. Mielniczuk
186
3
0
10 Jun 2019
A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk
The R Journal (JR), 2019
E. Kawaguchi
Jenny I. Shen
Gang Li
M. Suchard
142
17
0
17 May 2019
High-dimensional variable selection via low-dimensional adaptive learning
C. Staerk
M. Kateri
I. Ntzoufras
368
8
0
17 Apr 2019
Analysis of overfitting in the regularized Cox model
M. Sheikh
Anthony C. C. Coolen
352
11
0
14 Apr 2019
Tuning parameter selection rules for nuclear norm regularized multivariate linear regression
Pan Shang
Lingchen Kong
193
1
0
19 Jan 2019
A unified algorithm for the non-convex penalized estimation: The ncpen package
Dongshin Kim
Sangin Lee
Sunghoon Kwon
269
8
0
13 Nov 2018
Model-based clustering for populations of networks
M. Signorelli
E. Wit
358
18
0
01 Jun 2018
Model selection with lasso-zero: adding straw to the haystack to better find needles
Pascaline Descloux
S. Sardy
258
11
0
14 May 2018
Large-Scale Model Selection with Misspecification
Emre Demirkaya
Yang Feng
Pallavi Basu
Jinchi Lv
312
0
0
17 Mar 2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
Subhabrata Majumdar
George Michailidis
219
5
0
09 Mar 2018
Model selection in sparse high-dimensional vine copula models with application to portfolio risk
T. Nagler
Christian Bumann
C. Czado
231
63
0
29 Jan 2018
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso
D. Müller
C. Czado
260
19
0
15 Sep 2017
Forward-Backward Selection with Early Dropping
Journal of machine learning research (JMLR), 2017
Giorgos Borboudakis
Ioannis Tsamardinos
381
109
0
30 May 2017
SOFAR: large-scale association network learning
Yoshimasa Uematsu
Yingying Fan
Kun Chen
Jinchi Lv
Wei Lin
CML
228
40
0
26 Apr 2017
Cross-Validation with Confidence
Jing Lei
363
108
0
23 Mar 2017
A Nodewise Regression Approach to Estimating Large Portfolios
Laurent Callot
Mehmet Caner
Esra Ulaşan
A. Onder
327
2
0
22 Nov 2016
Tuning parameter calibration for
ℓ
1
\ell_1
ℓ
1
-regularized logistic regression
Wei Li
Johannes Lederer
418
12
0
01 Oct 2016
The constrained Dantzig selector with enhanced consistency
Yinfei Kong
Zemin Zheng
Jinchi Lv
186
10
0
11 May 2016
A study on tuning parameter selection for the high-dimensional lasso
D. Homrighausen
D. McDonald
303
12
0
04 Feb 2016
Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models
Degui Li
Y. Ke
Wenyang Zhang
185
35
0
29 Oct 2015
Estimation and inference in generalized additive coefficient models for nonlinear interactions with high-dimensional covariates
Shujie Ma
R. Carroll
Hua Liang
Shizhong Xu
290
19
0
14 Oct 2015
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