Pages that link to "Item:Q2500458"

The following pages link to High-dimensional graphs and variable selection with the Lasso (Q2500458):

Displaying 50 items.

• High-dimensional linear model selection motivated by multiple testing (Q5213362) (← links)
• Tensor Graphical Lasso (TeraLasso) (Q5213453) (← links)
• (Q5214180) (← links)
• (Q5214197) (← links)
• (Q5214208) (← links)
• (Q5214268) (← links)
• Effectiveness of combinations of Gaussian graphical models for model building (Q5218890) (← links)
• Graphical model selection for a particular class of continuous-time processes (Q5219000) (← links)
• Simple expressions of the LASSO and SLOPE estimators in low-dimension (Q5222210) (← links)
• Bayesian Graphical Regression (Q5229903) (← links)
• Functional Graphical Models (Q5229905) (← links)
• Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data (Q5231497) (← links)
• Graph-Guided Banding of the Covariance Matrix (Q5231506) (← links)
• Bayesian Regularization for Graphical Models With Unequal Shrinkage (Q5242470) (← links)
• On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments (Q5242480) (← links)
• Fused Multiple Graphical Lasso (Q5254994) (← links)
• Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection (Q5378251) (← links)
• Toward a Multisubject Analysis of Neural Connectivity (Q5380186) (← links)
• Sparse Covariance Matrix Estimation by DCA-Based Algorithms (Q5380866) (← links)
• (Q5381131) (← links)
• Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation (Q5383775) (← links)
• Structured lasso for regression with matrix covariates (Q5413282) (← links)
• Empirical comparison study of approximate methods for structure selection in binary graphical models (Q5416424) (← links)
• A sequential scaled pairwise selection approach to edge detection in nonparanormal graphical models (Q5507345) (← links)
• Large Covariance Estimation by Thresholding Principal Orthogonal Complements (Q5743151) (← links)
• Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models (Q5743269) (← links)
• Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection (Q5857123) (← links)
• Nonparametric discriminant analysis with network structures in predictor (Q5879911) (← links)
• Sequential profile Lasso for ultra-high-dimensional partially linear models (Q5880183) (← links)
• Prioritizing Autism Risk Genes Using Personalized Graphical Models Estimated From Single-Cell RNA-seq Data (Q5881061) (← links)
• Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models (Q5881076) (← links)
• Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
• Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer (Q5885074) (← links)
• Copula Gaussian Graphical Models for Functional Data (Q5885103) (← links)
• Consistent parameter estimation for Lasso and approximate message passing (Q5916043) (← links)
• The EBIC and a sequential procedure for feature selection in interactive linear models with high-dimensional data (Q5963707) (← links)
• A focused information criterion for graphical models (Q5963813) (← links)
• Introduction to the special issue on sparsity and regularization methods (Q5965302) (← links)
• Structured sparsity through convex optimization (Q5965303) (← links)
• Quasi-likelihood and/or robust estimation in high dimensions (Q5965304) (← links)
• A selective review of group selection in high-dimensional models (Q5965305) (← links)
• High-dimensional regression with unknown variance (Q5965306) (← links)
• Sparse nonparametric graphical models (Q5965307) (← links)
• A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
• A general theory of concave regularization for high-dimensional sparse estimation problems (Q5965310) (← links)
• Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
• Performance bounds for parameter estimates of high-dimensional linear models with correlated errors (Q5965327) (← links)
• Discussion: One-step sparse estimates in nonconcave penalized likelihood models (Q5966368) (← links)
• Discussion: Latent variable graphical model selection via convex optimization (Q5970644) (← links)
• Discussion: Latent variable graphical model selection via convex optimization (Q5970645) (← links)