A fast iterative algorithm for high-dimensional differential network
From MaRDI portal
Publication:2184396
DOI10.1007/s00180-019-00915-wzbMath1505.62398arXiv1901.07150OpenAlexW2968096253WikidataQ127371705 ScholiaQ127371705MaRDI QIDQ2184396
Zhangsheng Yu, Zhou Tang, Cheng Wang
Publication date: 28 May 2020
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1901.07150
Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Probabilistic graphical models (62H22)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Sparse inverse covariance estimation with the graphical lasso
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Inferring multiple graphical structures
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- One-step sparse estimates in nonconcave penalized likelihood models
- Regularized estimation of large covariance matrices
- High-dimensional graphs and variable selection with the Lasso
- Direct estimation of differential networks
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- Adaptive Thresholding for Sparse Covariance Matrix Estimation
- Joint estimation of multiple graphical models
- Sparse Quadratic Discriminant Analysis For High Dimensional Data
- Multiple Matrix Gaussian Graphs Estimation
- An overview of the estimation of large covariance and precision matrices
- Generalized Thresholding of Large Covariance Matrices
- Differential network analysis via lasso penalized D-trace loss
- Sparse precision matrix estimation via lasso penalized D-trace loss
This page was built for publication: A fast iterative algorithm for high-dimensional differential network