Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures
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Publication:2101407
DOI10.1016/j.csda.2022.107620OpenAlexW4295693221MaRDI QIDQ2101407
Publication date: 6 December 2022
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2022.107620
Uses Software
Cites Work
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- A sparse conditional Gaussian graphical model for analysis of genetical genomics data
- Reduced rank regression via adaptive nuclear norm penalization
- Sparse inverse covariance estimation with the graphical lasso
- Nonnegative adaptive Lasso for ultra-high dimensional regression models and a two-stage method applied in financial modeling
- Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood
- The sparse Laplacian shrinkage estimator for high-dimensional regression
- Shrinkage and model selection with correlated variables via weighted fusion
- Lasso-type recovery of sparse representations for high-dimensional data
- Nonnegative-Lasso and application in index tracking
- Bayesian variable selection regression of multivariate responses for group data
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- Simultaneous analysis of Lasso and Dantzig selector
- Nonnegative elastic net and application in index tracking
- A penalized regression model for the joint estimation of eQTL associations and gene network structure
- Sparsity oracle inequalities for the Lasso
- Support union recovery in high-dimensional multivariate regression
- Pathwise coordinate optimization
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO
- Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure
- Model selection and estimation in the Gaussian graphical model
- Sparse Portfolios for High-Dimensional Financial Index Tracking
- Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection
- Vast Portfolio Selection With Gross-Exposure Constraints
- An algorithm for the multivariate group lasso with covariance estimation
- On the degrees of freedom of reduced-rank estimators in multivariate regression
- Indirect multivariate response linear regression
- Covariate-adjusted precision matrix estimation with an application in genetical genomics
- Model Selection and Estimation in Regression with Grouped Variables
- Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation
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