Pages that link to "Item:Q2507896"

The following pages link to Consistent variable selection in high dimensional regression via multiple testing (Q2507896):

Displaying 40 items.

• High-dimensional regression and variable selection using CAR scores (Q118588) (← links)
• Consistent variable selection for functional regression models (Q268728) (← links)
• Testing a single regression coefficient in high dimensional linear models (Q311657) (← links)
• Goodness-of-fit testing-based selection for large-\(p\)-small-\(n\) problems: a two-stage ranking approach (Q393551) (← links)
• Nonparametric significance testing and group variable selection (Q476217) (← links)
• Additive model selection (Q513754) (← links)
• Minimal conditions for consistent variable selection in high dimension (Q533994) (← links)
• Consistent group selection in high-dimensional linear regression (Q627307) (← links)
• Consistent multiple testing for change points (Q634546) (← links)
• Principled sure independence screening for Cox models with ultra-high-dimensional covariates (Q764508) (← links)
• Regularization in statistics (Q882931) (← links)
• Selection of fixed effects in high dimensional linear mixed models using a multicycle ECM algorithm (Q1623713) (← links)
• A sequential test for variable selection in high dimensional complex data (Q1623732) (← links)
• Variable selection for high dimensional Gaussian copula regression model: an adaptive hypothesis testing procedure (Q1662864) (← links)
• Hypothesis testing sure independence screening for nonparametric regression (Q1746539) (← links)
• Efficient test-based variable selection for high-dimensional linear models (Q1749977) (← links)
• On tests for selection of variables and independence under multivariate regression models (Q1819865) (← links)
• Admissible, consistent multiple testing with applications including variable selection (Q1951995) (← links)
• Consistent variable selection criteria in multivariate linear regression even when dimension exceeds sample size (Q2041755) (← links)
• A note on variable selection in functional regression via random subspace method (Q2324267) (← links)
• Consistency of test-based method for selection of variables in high-dimensional two-group discriminant analysis (Q2329876) (← links)
• Predictor ranking and false discovery proportion control in high-dimensional regression (Q2418511) (← links)
• Variable selection procedures from multiple testing (Q2423858) (← links)
• Variable selection using stepdown procedures in high-dimensional linear models (Q2833627) (← links)
• <i>p</i>-Values for High-Dimensional Regression (Q3069897) (← links)
• Integrative analysis and variable selection with multiple high-dimensional data sets (Q3165548) (← links)
• Fast FSR Variable Selection with Applications to Clinical Trials (Q3183202) (← links)
• Adjusting Stepwise<i>p</i>-Values in Generalized Linear Models (Q3585282) (← links)
• (Q4344408) (← links)
• A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High-Dimensional Linear Regression Models (Q4682716) (← links)
• General linear hypothesis testing in functional response model (Q5079119) (← links)
• High-dimensional linear model selection motivated by multiple testing (Q5213362) (← links)
• Local comparison of empirical distributions via nonparametric regression (Q5220875) (← links)
• On some stepdown procedures with application to consistent variable selection in linear regression (Q5263999) (← links)
• Consistent variable selection via the optimal discovery procedure in multiple testing (Q5349165) (← links)
• Robust and consistent variable selection in high-dimensional generalized linear models (Q5384562) (← links)
• Multiple testing and variable selection along the path of the least angle regression (Q5878243) (← links)
• Fréchet distance-based cluster analysis for multi-dimensional functional data (Q6173555) (← links)
• Consistent significance controlled variable selection in high-dimensional regression (Q6541483) (← links)
• Multiple hypothesis testing for variable selection (Q6569948) (← links)