Pages that link to "Item:Q3069884"

The following pages link to Forward Regression for Ultra-High Dimensional Variable Screening (Q3069884):

Displaying 50 items.

• Screening and selection for quantile regression using an alternative measure of variable importance (Q2274955) (← links)
• Grouped variable screening for ultra-high dimensional data for linear model (Q2291335) (← links)
• On testing conditional qualitative treatment effects (Q2313289) (← links)
• Adaptively weighted group Lasso for semiparametric quantile regression models (Q2325373) (← links)
• A new test for part of high dimensional regression coefficients (Q2348453) (← links)
• High dimensional cross-sectional dependence test under arbitrary serial correlation (Q2360967) (← links)
• A Bayesian approach to sparse dynamic network identification (Q2391442) (← links)
• Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data (Q2418503) (← links)
• Some improved estimation strategies in high-dimensional semiparametric regression models with application to riboflavin production data (Q2423185) (← links)
• High-dimensional influence measure (Q2438764) (← links)
• Fast stepwise regression based on multidimensional indexes (Q2666779) (← links)
• Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification (Q2832014) (← links)
• Selection Consistency of Generalized Information Criterion for Sparse Logistic Model (Q2833365) (← links)
• Iterative selection using orthogonal regression techniques (Q2870764) (← links)
• Profiled forward regression for ultrahigh dimensional variable screening in semiparametric partially linear models (Q2883898) (← links)
• Multiple loci mapping via model-free variable selection (Q2893976) (← links)
• Laplace Error Penalty-based Variable Selection in High Dimension (Q2949868) (← links)
• Grouped feature screening for ultra-high dimensional data for the classification model (Q3390600) (← links)
• A model-free variable selection method for reducing the number of redundant variables (Q4559351) (← links)
• Bayesian Neural Networks for Selection of Drug Sensitive Genes (Q4559675) (← links)
• Profile greedy forward regression variable screening for ultra-high dimensional partially linear model (Q4574526) (← links)
• Cluster feature selection in high-dimensional linear models (Q4603581) (← links)
• Greedy forward regression for variable screening (Q4639813) (← links)
• Trace pursuit variable selection for multi-population data (Q4643629) (← links)
• Feature Screening via Distance Correlation Learning (Q4648557) (← links)
• Error Variance Estimation in Ultrahigh-Dimensional Additive Models (Q4690960) (← links)
• Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions (Q4904737) (← links)
• Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension (Q4916453) (← links)
• Functional variable selection via Gram–Schmidt orthogonalization for multiple functional linear regression (Q4960785) (← links)
• Model Selection for High-Dimensional Quadratic Regression via Regularization (Q4962427) (← links)
• Two tales of variable selection for high dimensional regression: Screening and model building (Q4969932) (← links)
• Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space (Q4975573) (← links)
• The Sparse MLE for Ultrahigh-Dimensional Feature Screening (Q4975575) (← links)
• Interaction Screening for Ultrahigh-Dimensional Data (Q4975578) (← links)
• (Q4986368) (← links)
• A model-free conditional screening approach via sufficient dimension reduction (Q4988818) (← links)
• (Q4998936) (← links)
• Robust feature screening for high-dimensional survival data (Q5036548) (← links)
• Efficient kernel-based variable selection with sparsistency (Q5037806) (← links)
• Sparse Composite Quantile Regression with Ultra-high Dimensional Heterogeneous Data (Q5037835) (← links)
• Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index (Q5040534) (← links)
• Variable Selection With Second-Generation <i>P</i>-Values (Q5050808) (← links)
• (Q5053172) (← links)
• GEE-Assisted Forward Regression for Spatial Latent Variable Models (Q5057226) (← links)
• Hypothesis Testing for Block-structured Correlation for High Dimensional Variables (Q5066769) (← links)
• Variance ratio screening for ultrahigh dimensional discriminant analysis (Q5075472) (← links)
• Conditional distance correlation sure independence screening for ultra-high dimensional survival data (Q5078498) (← links)
• Non-marginal feature screening for additive hazard model with ultrahigh-dimensional covariates (Q5079906) (← links)
• Sparsity identification for high-dimensional partially linear model with measurement error (Q5085031) (← links)
• Variable screening for ultrahigh dimensional censored quantile regression (Q5107331) (← links)