167 related articles for article (PubMed ID: 28473876)
1. Joint Estimation of Precision Matrices in Heterogeneous Populations.
Saegusa T; Shojaie A
Electron J Stat; 2016; 10(1):1341-1392. PubMed ID: 28473876
[TBL] [Abstract][Full Text] [Related]
2. Joint Estimation of Multiple Precision Matrices with Common Structures.
Lee W; Liu Y
J Mach Learn Res; 2015; 16():1035-1062. PubMed ID: 26568704
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Joint estimation of multiple graphical models.
Guo J; Levina E; Michailidis G; Zhu J
Biometrika; 2011 Mar; 98(1):1-15. PubMed ID: 23049124
[TBL] [Abstract][Full Text] [Related]
5. Application of fused graphical lasso to statistical inference for multiple sparse precision matrices.
Zhang Q; Li L; Yang H
PLoS One; 2024; 19(5):e0304264. PubMed ID: 38820407
[TBL] [Abstract][Full Text] [Related]
6. Sparse Covariance Matrix Estimation With Eigenvalue Constraints.
Liu H; Wang L; Zhao T
J Comput Graph Stat; 2014 Apr; 23(2):439-459. PubMed ID: 25620866
[TBL] [Abstract][Full Text] [Related]
7. Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables.
Xie B; Pan W; Shen X
Electron J Stat; 2008; 2():168-212. PubMed ID: 19920875
[TBL] [Abstract][Full Text] [Related]
8. Sparsistency and Rates of Convergence in Large Covariance Matrix Estimation.
Lam C; Fan J
Ann Stat; 2009; 37(6B):4254-4278. PubMed ID: 21132082
[TBL] [Abstract][Full Text] [Related]
9. Simultaneous clustering and estimation of networks in multiple graphical models.
Li G; Wang M
Biostatistics; 2024 Jun; ():. PubMed ID: 38841872
[TBL] [Abstract][Full Text] [Related]
10. Joint Estimation of Multiple High-dimensional Precision Matrices.
Cai TT; Li H; Liu W; Xie J
Stat Sin; 2016 Apr; 26(2):445-464. PubMed ID: 28316451
[TBL] [Abstract][Full Text] [Related]
11. Joint estimation and regularized aggregation of brain network in FMRI data.
Chung J; Jackson BS; Mcdowell JE; Park C
J Neurosci Methods; 2021 Dec; 364():109374. PubMed ID: 34600917
[TBL] [Abstract][Full Text] [Related]
12. Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure.
Ni Y; Stingo FC; Baladandayuthapani V
J Mach Learn Res; 2022; 23(242):. PubMed ID: 37799290
[TBL] [Abstract][Full Text] [Related]
13. Spectral Estimation Using Multitaper Whittle Methods with a Lasso Penalty.
Tang S; Craigmile PF; Zhu Y
IEEE Trans Signal Process; 2019 Oct; 67(19):4992-5003. PubMed ID: 33311962
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Penalized model-based clustering with unconstrained covariance matrices.
Zhou H; Pan W; Shen X
Electron J Stat; 2009 Jan; 3():1473-1496. PubMed ID: 20463857
[TBL] [Abstract][Full Text] [Related]
16. Simultaneous cluster structure learning and estimation of heterogeneous graphs for matrix-variate fMRI data.
Liu D; Zhao C; He Y; Liu L; Guo Y; Zhang X
Biometrics; 2023 Sep; 79(3):2246-2259. PubMed ID: 36017603
[TBL] [Abstract][Full Text] [Related]
17. The Bayesian Covariance Lasso.
Khondker ZS; Zhu H; Chu H; Lin W; Ibrahim JG
Stat Interface; 2013 Apr; 6(2):243-259. PubMed ID: 24551316
[TBL] [Abstract][Full Text] [Related]
18. A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection.
Liu Q
BMC Bioinformatics; 2022 Jan; 22(Suppl 12):436. PubMed ID: 35057728
[TBL] [Abstract][Full Text] [Related]
19. Sparse Quadratic Approximation for Graph Learning.
Pasadakis D; Bollhofer M; Schenk O
IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):11256-11269. PubMed ID: 37030710
[TBL] [Abstract][Full Text] [Related]
20. A New Algorithm and Theory for Penalized Regression-based Clustering.
Wu C; Kwon S; Shen X; Pan W
J Mach Learn Res; 2016; 17():. PubMed ID: 31662706
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
