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.
- Lasso penalized semiparametric regression on high-dimensional recurrent event data via coordinate descent (Q2862409) (← links)
- An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence (Q2866116) (← links)
- Statistical corrections of invalid correlation matrices (Q2868869) (← links)
- Variable selection for semiparametric regression models with iterated penalisation (Q2892927) (← links)
- On path restoration for censored outcomes (Q2893396) (← links)
- Estimation for high-dimensional linear mixed-effects models using \(\ell_1\)-penalization (Q2911662) (← links)
- The loss rank criterion for variable selection in linear regression analysis (Q2911677) (← links)
- Covariance-regularized regression and classification for high dimensional problems (Q2920259) (← links)
- Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (Q2927635) (← links)
- Optimality of Graphlet Screening in High Dimensional Variable Selection (Q2934100) (← links)
- Estimation and variable selection in partial linear single index models with error-prone linear covariates (Q2934843) (← links)
- Laplace Error Penalty-based Variable Selection in High Dimension (Q2949868) (← links)
- Non-asymptotic oracle inequalities for the Lasso and Group Lasso in high dimensional logistic model (Q2954238) (← links)
- Sparse covariance thresholding for high-dimensional variable selection (Q2999743) (← links)
- Learning Oncogenic Pathways from Binary Genomic Instability Data (Q3008875) (← links)
- Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection (Q3077759) (← links)
- Variable Selection for Panel Count Data via Non-Concave Penalized Estimating Function (Q3077761) (← links)
- Optimal Detection of Heterogeneous and Heteroscedastic Mixtures (Q3107196) (← links)
- Banded Regularization of Autocovariance Matrices in Application to Parameter Estimation and Forecasting of Time Series (Q3107199) (← links)
- Inferring network structure in non-normal and mixed discrete-continuous genomic data (Q3119823) (← links)
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI (Q3121557) (← links)
- A NEW APPROACH TO SELECT THE BEST SUBSET OF PREDICTORS IN LINEAR REGRESSION MODELLING: BI-OBJECTIVE MIXED INTEGER LINEAR PROGRAMMING (Q3122035) (← links)
- Covariance structure approximation via gLasso in high-dimensional supervised classification (Q3168288) (← links)
- Sparse Sufficient Dimension Reduction for Markov Blanket Discovery (Q3178544) (← links)
- Estimating spatial covariance using penalised likelihood with weighted<i>L</i><sub>1</sub>penalty (Q3182743) (← links)
- Variable selection for high dimensional multivariate outcomes (Q3195164) (← links)
- Ising models for neural activity inferred via selective cluster expansion: structural and coding properties (Q3301538) (← links)
- On inferring presence of an individual in a mixture: a Bayesian approach (Q3303630) (← links)
- On High-Dimensional Constrained Maximum Likelihood Inference (Q3304849) (← links)
- An efficient method for identifying statistical interactors in gene association networks (Q3304992) (← links)
- Selection of the Regularization Parameter in Graphical Models Using Network Characteristics (Q3391115) (← links)
- Measuring the Stability of Results From Supervised Statistical Learning (Q3391150) (← links)
- An Expectation Conditional Maximization Approach for Gaussian Graphical Models (Q3391200) (← links)
- Estimating Time-Varying Graphical Models (Q3391467) (← links)
- Adaptive Lasso in high-dimensional settings (Q3391785) (← links)
- A component lasso (Q3463403) (← links)
- Graphical Models and Message-Passing Algorithms: Some Introductory Lectures (Q3463611) (← links)
- A sparse ising model with covariates (Q3465372) (← links)
- Estimation of Positive Semidefinite Correlation Matrices by Using Convex Quadratic Semidefinite Programming (Q3497617) (← links)
- DASSO: Connections Between the Dantzig Selector and Lasso (Q3551034) (← links)
- An overview of recent developments in genomics and associated statistical methods (Q3559948) (← links)
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- (Q4558148) (← links)
- (Q4558531) (← links)
- (Q4558563) (← links)
- Sparsest representations and approximations of an underdetermined linear system (Q4569345) (← links)
- Goodness-of-Fit Tests for High Dimensional Linear Models (Q4603816) (← links)
- Adaptive Lasso for generalized linear models with a diverging number of parameters (Q4605261) (← links)
- Confidence intervals for sparse precision matrix estimation via Lasso penalized D-trace loss (Q4606470) (← links)
- (Q4614089) (← links)
