Pages that link to "Item:Q2445677"

The following pages link to Variable selection via combined penalization for high-dimensional data analysis (Q2445677):

Displaying 18 items.

• Designing penalty functions in high dimensional problems: the role of tuning parameters (Q309586) (← links)
• Simultaneous estimation and factor selection in quantile regression via adaptive sup-norm regularization (Q433240) (← links)
• High-dimensional pseudo-logistic regression and classification with applications to gene expression data (Q1020833) (← links)
• Stabilizing the Lasso against cross-validation variability (Q1615230) (← links)
• Estimating mutual information for feature selection in the presence of label noise (Q1621365) (← links)
• Simultaneous dimension reduction and variable selection in modeling high dimensional data (Q1654282) (← links)
• Nonconvex penalized ridge estimations for partially linear additive models in ultrahigh dimension (Q1731372) (← links)
• False discovery control for penalized variable selections with high-dimensional covariates (Q2324959) (← links)
• High dimensional single index models (Q2350065) (← links)
• Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis (Q2358912) (← links)
• Integrative analysis and variable selection with multiple high-dimensional data sets (Q3165548) (← links)
• Combined-penalized likelihood estimations with a diverging number of parameters (Q3179246) (← links)
• High Dimensional Variable Selection via Tilting (Q4632676) (← links)
• High‐dimensional data analysis: Selection of variables, data compression and graphics – Application to gene expression (Q5123173) (← links)
• Variable selection for high-dimensional generalized linear models with the weighted elastic-net procedure (Q5138041) (← links)
• (Q5194459) (← links)
• Targeted Inference Involving High-Dimensional Data Using Nuisance Penalized Regression (Q6044635) (← links)
• One-step sparse ridge estimation with folded concave penalty (Q6590301) (← links)