115 related articles for article (PubMed ID: 36987376)
1. Local linear approximation with Laplacian smoothing penalty and application in biology.
Chen X; Yang Y
Stat Methods Med Res; 2023 Jun; 32(6):1145-1158. PubMed ID: 36987376
[TBL] [Abstract][Full Text] [Related]
2. The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression.
Huang J; Ma S; Li H; Zhang CH
Ann Stat; 2011; 39(4):2021-2046. PubMed ID: 22102764
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Smoothing approximation to the lower order exact penalty function for inequality constrained optimization.
Lian S; Niu N
J Inequal Appl; 2018; 2018(1):131. PubMed ID: 30137725
[TBL] [Abstract][Full Text] [Related]
6. M-estimation in high-dimensional linear model.
Wang K; Zhu Y
J Inequal Appl; 2018; 2018(1):225. PubMed ID: 30839615
[TBL] [Abstract][Full Text] [Related]
7. Polyharmonic smoothing splines and the multidimensional Wiener filtering of fractal-like signals.
Tirosh S; Van De Ville D; Unser M
IEEE Trans Image Process; 2006 Sep; 15(9):2616-30. PubMed ID: 16948307
[TBL] [Abstract][Full Text] [Related]
8. Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension.
Cheng G; Zhang HH; Shang Z
Ann Inst Stat Math; 2015 Feb; 67(1):93-127. PubMed ID: 25620808
[TBL] [Abstract][Full Text] [Related]
9. glmgraph: an R package for variable selection and predictive modeling of structured genomic data.
Chen L; Liu H; Kocher JP; Li H; Chen J
Bioinformatics; 2015 Dec; 31(24):3991-3. PubMed ID: 26315909
[TBL] [Abstract][Full Text] [Related]
10. A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning.
Shi Y; Huang J; Jiao Y; Yang Q
IEEE Trans Neural Netw Learn Syst; 2020 Aug; 31(8):2993-3006. PubMed ID: 31536018
[TBL] [Abstract][Full Text] [Related]
11. Smooth and Locally Sparse Estimation for Multiple-Output Functional Linear Regression.
Fang K; Zhang X; Ma S; Zhang Q
J Stat Comput Simul; 2020; 90(2):341-354. PubMed ID: 33012883
[TBL] [Abstract][Full Text] [Related]
12. NETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA.
Sun H; Lin W; Feng R; Li H
Stat Sin; 2014 Jul; 24(3):1433-1459. PubMed ID: 26316678
[TBL] [Abstract][Full Text] [Related]
13. A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.
Wang J; Xu C; Yang X; Zurada JM
IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):2012-2024. PubMed ID: 28961129
[TBL] [Abstract][Full Text] [Related]
14. Stationary wavelet packet transform and dependent laplacian bivariate shrinkage estimator for array-CGH data smoothing.
Nguyen N; Huang H; Oraintara S; Vo A
J Comput Biol; 2010 Feb; 17(2):139-52. PubMed ID: 20078226
[TBL] [Abstract][Full Text] [Related]
15. Newton-Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver.
Cao Y; Kang L; Li X; Liu Y; Luo Y; Shi Y
IEEE Trans Neural Netw Learn Syst; 2023 Mar; PP():. PubMed ID: 37028319
[TBL] [Abstract][Full Text] [Related]
16. A smoothing neural network for minimization l
Zhao Y; He X; Huang T; Huang J; Li P
Neural Netw; 2020 Feb; 122():40-53. PubMed ID: 31675626
[TBL] [Abstract][Full Text] [Related]
17. A structured iterative division approach for non-sparse regression models and applications in biological data analysis.
Yu S; Yang Y
Stat Methods Med Res; 2024 May; ():9622802241254251. PubMed ID: 38780481
[TBL] [Abstract][Full Text] [Related]
18. A Robust Method for Inferring Network Structures.
Yang Y; Luo T; Li Z; Zhang X; Yu PS
Sci Rep; 2017 Jul; 7(1):5221. PubMed ID: 28701799
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging.
Hadj-Selem F; Lofstedt T; Dohmatob E; Frouin V; Dubois M; Guillemot V; Duchesnay E
IEEE Trans Med Imaging; 2018 Nov; 37(11):2403-2413. PubMed ID: 29993684
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
