Pages that link to "Item:Q2500458"
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The following pages link to High-dimensional graphs and variable selection with the Lasso (Q2500458):
Displaying 50 items.
- Bayesian model selection approach for coloured graphical Gaussian models (Q5036900) (← links)
- REMI: REGRESSION WITH MARGINAL INFORMATION AND ITS APPLICATION IN GENOME-WIDE ASSOCIATION STUDIES (Q5037800) (← links)
- Bayesian Estimation of Gaussian Conditional Random Fields (Q5037819) (← links)
- Hereditarity of potential matrices and positive affine prediction of nonnegative risks from mixture models (Q5042784) (← links)
- Scalable inference for high-dimensional precision matrix (Q5046808) (← links)
- Inferred Networks and the Social Determinants of Health (Q5050397) (← links)
- Variable Selection With Second-Generation <i>P</i>-Values (Q5050808) (← links)
- (Q5053309) (← links)
- Ising model selection using ℓ <sub>1</sub>-regularized linear regression: a statistical mechanics analysis* (Q5055417) (← links)
- An expectation maximization algorithm for high-dimensional model selection for the Ising model with misclassified states* (Q5056934) (← links)
- Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers (Q5057262) (← links)
- Bayesian bootstrap adaptive lasso estimators of regression models (Q5065281) (← links)
- Graph-Assisted Inverse Regression for Count Data and Its Application to Sequencing Data (Q5065992) (← links)
- Joint Estimation of the Two-Level Gaussian Graphical Models Across Multiple Classes (Q5066004) (← links)
- Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso (Q5066402) (← links)
- Change-Point Detection for Graphical Models in the Presence of Missing Values (Q5066463) (← links)
- Fast Computation of Latent Correlations (Q5066507) (← links)
- Performance Assessment of High-dimensional Variable Identification (Q5066768) (← links)
- Projection-based Inference for High-dimensional Linear Models (Q5066781) (← links)
- Rates of convergence of the adaptive elastic net and the post-selection procedure in ultra-high dimensional sparse models (Q5079021) (← links)
- Variable selection for partially varying coefficient model based on modal regression under high dimensional data (Q5079227) (← links)
- In defense of LASSO (Q5081041) (← links)
- D-Trace estimation of a precision matrix with eigenvalue control (Q5082604) (← links)
- DSLRIG: Leveraging predictor structure in logistic regression (Q5082634) (← links)
- Estimation of joint directed acyclic graphs with lasso family for gene networks (Q5082742) (← links)
- Sparse linear regression models of high dimensional covariates with non-Gaussian outliers and Berkson error-in-variable under heteroscedasticity (Q5082770) (← links)
- Precision matrix estimation under data contamination with an application to minimum variance portfolio selection (Q5082899) (← links)
- Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM (Q5083364) (← links)
- Singular Gaussian graphical models: Structure learning (Q5085090) (← links)
- A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology (Q5085654) (← links)
- (Q5089457) (← links)
- Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications (Q5094178) (← links)
- Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory (Q5097857) (← links)
- Rapid penalized likelihood-based outlier detection via heteroskedasticity test (Q5106847) (← links)
- Extended lasso-type MARS (LMARS) model in the description of biological network (Q5107305) (← links)
- High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators (Q5107390) (← links)
- Sparse inverse covariance estimation for high-throughput microRNA sequencing data in the Poisson log-normal graphical model (Q5107510) (← links)
- An improved modified cholesky decomposition approach for precision matrix estimation (Q5107717) (← links)
- Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation (Q5120677) (← links)
- Grouped penalization estimation of the osteoporosis data in the traditional Chinese medicine (Q5128952) (← links)
- Bayesian networks for sex-related homicides: structure learning and prediction (Q5129005) (← links)
- Confidence Intervals for Sparse Penalized Regression With Random Designs (Q5130623) (← links)
- Independently Interpretable Lasso for Generalized Linear Models (Q5131139) (← links)
- Sufficient ensemble size for random matrix theory-based handling of singular covariance matrices (Q5132231) (← links)
- MARS as an alternative approach of Gaussian graphical model for biochemical networks (Q5138750) (← links)
- A Tuning-free Robust and Efficient Approach to High-dimensional Regression (Q5146020) (← links)
- Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” (Q5146022) (← links)
- (Q5149040) (← links)
- Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data (Q5154171) (← links)
- Graphical lassos for meta‐elliptical distributions (Q5166409) (← links)
