Pages that link to "Item:Q2270657"

The following pages link to Network exploration via the adaptive LASSO and SCAD penalties (Q2270657):

Displaying 50 items.

• Innovated scalable efficient inference for ultra-large graphical models (Q2244522) (← links)
• Two-way sparsity for time-varying networks with applications in genomics (Q2245162) (← links)
• Gemini: graph estimation with matrix variate normal instances (Q2249840) (← links)
• Fast and adaptive sparse precision matrix estimation in high dimensions (Q2256755) (← links)
• On a monotone scheme for nonconvex nonsmooth optimization with applications to fracture mechanics (Q2275329) (← links)
• Post-processing posteriors over precision matrices to produce sparse graph estimates (Q2290702) (← links)
• A two-stage sequential conditional selection approach to sparse high-dimensional multivariate regression models (Q2304238) (← links)
• Bayesian estimation of large precision matrix based on Cholesky decomposition (Q2311706) (← links)
• High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← links)
• Selecting the tuning parameter in penalized Gaussian graphical models (Q2329783) (← links)
• On Hodges' superefficiency and merits of oracle property in model selection (Q2330527) (← links)
• Estimation of positive definite \(M\)-matrices and structure learning for attractive Gaussian Markov random fields (Q2341885) (← links)
• Large covariance estimation through elliptical factor models (Q2413594) (← links)
• D-trace estimation of a precision matrix using adaptive lasso penalties (Q2418368) (← links)
• Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach (Q2425168) (← links)
• Covariance and precision matrix estimation for high-dimensional time series (Q2443210) (← links)
• SONIC: social network analysis with influencers and communities (Q2673171) (← links)
• Bayesian analysis of nonparanormal graphical models using rank-likelihood (Q2676906) (← links)
• Precision matrix estimation using penalized generalized Sylvester matrix equation (Q2677125) (← links)
• Group-wise shrinkage estimation in penalized model-based clustering (Q2680189) (← links)
• A Bayesian graphical approach for large-scale portfolio management with fewer historical data (Q2686273) (← links)
• Regularised MANOVA for high-dimensional data (Q2802885) (← links)
• A Gaussian graphical model approach to climate networks (Q2821530) (← links)
• Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (Q2927635) (← links)
• On High-Dimensional Constrained Maximum Likelihood Inference (Q3304849) (← links)
• An Expectation Conditional Maximization Approach for Gaussian Graphical Models (Q3391200) (← links)
• (Q4558531) (← links)
• Simultaneous Clustering and Estimation of Heterogeneous Graphical Models (Q4558554) (← links)
• Sparse Matrix Graphical Models (Q4648565) (← links)
• Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent (Q4916947) (← links)
• (Q4969155) (← links)
• Sparse inverse covariance matrix estimation via the $ \newcommand{\e}{{\rm e}} \ell_{0}$ -norm with Tikhonov regularization (Q4973542) (← links)
• Structural Pursuit Over Multiple Undirected Graphs (Q4975637) (← links)
• (Q4998947) (← links)
• (Q4998948) (← links)
• A partial graphical model with a structural prior on the direct links between predictors and responses (Q5000397) (← links)
• Fast algorithms for sparse inverse covariance estimation (Q5031723) (← links)
• Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data (Q5036378) (← links)
• Model selection with distributed SCAD penalty (Q5036460) (← links)
• Sparse graphical models via calibrated concave convex procedure with application to fMRI data (Q5037034) (← links)
• (Q5053309) (← links)
• Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes (Q5066004) (← links)
• Change-Point Detection for Graphical Models in the Presence of Missing Values (Q5066463) (← links)
• Rates of convergence of the adaptive elastic net and the post-selection procedure in ultra-high dimensional sparse models (Q5079021) (← links)
• A Greedy Algorithm for Sparse Precision Matrix Approximation (Q5079528) (← links)
• D-Trace estimation of a precision matrix with eigenvalue control (Q5082604) (← links)
• Estimation of joint directed acyclic graphs with lasso family for gene networks (Q5082742) (← links)
• Precision matrix estimation under data contamination with an application to minimum variance portfolio selection (Q5082899) (← links)
• Constructing networks by filtering correlation matrices: a null model approach (Q5160819) (← links)
• A computationally fast alternative to cross-validation in penalized Gaussian graphical models (Q5220930) (← links)