198 related articles for article (PubMed ID: 22287795)
1. Non-Concave Penalized Likelihood with NP-Dimensionality.
Fan J; Lv J
IEEE Trans Inf Theory; 2011 Aug; 57(8):5467-5484. PubMed ID: 22287795
[TBL] [Abstract][Full Text] [Related]
2. Robust learning for optimal treatment decision with NP-dimensionality.
Shi C; Song R; Lu W
Electron J Stat; 2016; 10():2894-2921. PubMed ID: 28781717
[TBL] [Abstract][Full Text] [Related]
3. Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection.
Bradic J; Fan J; Wang W
J R Stat Soc Series B Stat Methodol; 2011 Jun; 73(3):325-349. PubMed ID: 21589849
[TBL] [Abstract][Full Text] [Related]
4. REGULARIZATION FOR COX'S PROPORTIONAL HAZARDS MODEL WITH NP-DIMENSIONALITY.
Bradic J; Fan J; Jiang J
Ann Stat; 2011; 39(6):3092-3120. PubMed ID: 23066171
[TBL] [Abstract][Full Text] [Related]
5. Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions.
Liu H; Yao T; Li R; Ye Y
Math Program; 2017 Nov; 166(1-2):207-240. PubMed ID: 29225375
[TBL] [Abstract][Full Text] [Related]
6. Variable selection under multicollinearity using modified log penalty.
Nguyen VC; Ng CT
J Appl Stat; 2020; 47(2):201-230. PubMed ID: 35706515
[TBL] [Abstract][Full Text] [Related]
7. Majorization Minimization by Coordinate Descent for Concave Penalized Generalized Linear Models.
Jiang D; Huang J
Stat Comput; 2014 Sep; 24(5):871-883. PubMed ID: 25309048
[TBL] [Abstract][Full Text] [Related]
8. STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION.
Fan J; Xue L; Zou H
Ann Stat; 2014 Jun; 42(3):819-849. PubMed ID: 25598560
[TBL] [Abstract][Full Text] [Related]
9. Designing penalty functions in high dimensional problems: The role of tuning parameters.
Chen TH; Sun W; Fine JP
Electron J Stat; 2016; 10(2):2312-2328. PubMed ID: 28989558
[TBL] [Abstract][Full Text] [Related]
10. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.
Zou H; Li R
Ann Stat; 2008 Aug; 36(4):1509-1533. PubMed ID: 19823597
[TBL] [Abstract][Full Text] [Related]
11. Sample Average Approximation with Sparsity-Inducing Penalty for High-Dimensional Stochastic Programming.
Liu H; Wang X; Yao T; Li R; Ye Y
Math Program; 2019 Nov; 78(1-2):69-108. PubMed ID: 31680704
[TBL] [Abstract][Full Text] [Related]
12. Penalized Empirical Likelihood for the Sparse Cox Regression Model.
Wang D; Wu TT; Zhao Y
J Stat Plan Inference; 2019 Jul; 201():71-85. PubMed ID: 31588162
[TBL] [Abstract][Full Text] [Related]
13. Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications.
Huang J; Zhang CH
J Mach Learn Res; 2012 Jun; 13():1839-1864. PubMed ID: 24348100
[TBL] [Abstract][Full Text] [Related]
14. A Selective Overview of Variable Selection in High Dimensional Feature Space.
Fan J; Lv J
Stat Sin; 2010 Jan; 20(1):101-148. PubMed ID: 21572976
[TBL] [Abstract][Full Text] [Related]
15. GLOBAL SOLUTIONS TO FOLDED CONCAVE PENALIZED NONCONVEX LEARNING.
Liu H; Yao T; Li R
Ann Stat; 2016 Apr; 44(2):629-659. PubMed ID: 27141126
[TBL] [Abstract][Full Text] [Related]
16. A few theoretical results for Laplace and arctan penalized ordinary least squares linear regression estimators.
John M; Vettam S
Commun Stat Theory Methods; 2024; 53(13):4819-4840. PubMed ID: 38895616
[TBL] [Abstract][Full Text] [Related]
17. ADAPTIVE ROBUST VARIABLE SELECTION.
Fan J; Fan Y; Barut E
Ann Stat; 2014 Feb; 42(1):324-351. PubMed ID: 25580039
[TBL] [Abstract][Full Text] [Related]
18. Variable selection and estimation in generalized linear models with the seamless
Li Z; Wang S; Lin X
Can J Stat; 2012 Dec; 40(4):745-769. PubMed ID: 23519603
[TBL] [Abstract][Full Text] [Related]
19. LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS.
Shi C; Song R; Chen Z; Li R
Ann Stat; 2019 Oct; 47(5):2671-2703. PubMed ID: 31534282
[TBL] [Abstract][Full Text] [Related]
20. Penalized Bregman divergence for large-dimensional regression and classification.
Zhang C; Jiang Y; Chai Y
Biometrika; 2010 Sep; 97(3):551-566. PubMed ID: 22822248
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
