The following pages link to Model-Free Variable Selection (Q5313590):
Displaying 50 items.
- Kernel Knockoffs Selection for Nonparametric Additive Models (Q115586) (← links)
- A conditional independence test for dependent data based on maximal conditional correlation (Q413769) (← links)
- Nonparametric significance testing and group variable selection (Q476217) (← links)
- Variable selection of generalized regression models based on maximum rank correlation (Q477519) (← links)
- Variable selection for general index models via sliced inverse regression (Q480962) (← links)
- Dimension estimation in sufficient dimension reduction: a unifying approach (Q608333) (← links)
- Coordinate-independent sparse sufficient dimension reduction and variable selection (Q620565) (← links)
- A link-free method for testing the significance of predictors (Q631622) (← links)
- Model-free variable selection for conditional mean in regression (Q830544) (← links)
- Dimension reduction based linear surrogate variable approach for model free variable selection (Q900762) (← links)
- FSR methods for second-order regression models (Q901592) (← links)
- New approaches to model-free dimension reduction for bivariate regression (Q1007453) (← links)
- Variable selection in regression models using nonstandard optimisation of information criteria (Q1020778) (← links)
- A nonlinear multi-dimensional variable selection method for high dimensional data: sparse MAVE (Q1023796) (← links)
- Data-driven algorithms for dimension reduction in causal inference (Q1658547) (← links)
- On dual model-free variable selection with two groups of variables (Q1661367) (← links)
- Probing for sparse and fast variable selection with model-based boosting (Q1664500) (← links)
- Ranking the importance of variables in nonlinear system identification (Q1737872) (← links)
- Robust variable selection through MAVE (Q1800060) (← links)
- Variable selection for structural models (Q1866230) (← links)
- Sparse SIR: optimal rates and adaptive estimation (Q2176608) (← links)
- Variable importance assessments and backward variable selection for multi-sample problems (Q2237823) (← links)
- High-dimensional regression analysis with treatment comparisons (Q2255930) (← links)
- Sufficient variable selection using independence measures for continuous response (Q2274957) (← links)
- Exploration of the variability of variable selection based on distances between bootstrap sample results (Q2303056) (← links)
- Variable selection and estimation for semi-parametric multiple-index models (Q2345120) (← links)
- Sparse sufficient dimension reduction using optimal scoring (Q2359474) (← links)
- Variable selection through adaptive MAVE (Q2407490) (← links)
- Rodeo: Sparse, greedy nonparametric regression (Q2477052) (← links)
- Model-free variable selection in reproducing kernel Hilbert space (Q2810899) (← links)
- Multiple loci mapping via model-free variable selection (Q2893976) (← links)
- An Inverse-regression Method of Dependent Variable Transformation for Dimension Reduction with Non-linear Confounding (Q2949875) (← links)
- Analyzing large datasets with bootstrap penalization (Q2980232) (← links)
- Dimension reduction in survival regressions with censored data via an imputed spline approach (Q3003007) (← links)
- Influence Functions for Dimension Reduction Methods: An Example Influence Study of Principal Hessian Direction Analysis (Q3103142) (← links)
- 3 dimensional parallel coordinates plot and its use for variable selection (Q3298602) (← links)
- Subset selection algorithm based on mutual information (Q3298634) (← links)
- (Q3361752) (← links)
- A METHOD OF VARIABLE SELECTION IN HAYASHI'S THIRD METHOD OF QUANTIFICATION (Q3476143) (← links)
- Shrinkage Inverse Regression Estimation for Model-Free Variable Selection (Q3551042) (← links)
- A model-free variable selection method for reducing the number of redundant variables (Q4559351) (← links)
- Gradient-induced Model-free Variable Selection with Composite Quantile Regression (Q4571220) (← links)
- Performances of some high dimensional regression methods (Q5082657) (← links)
- Methods of Selecting Informative Variables (Q5122801) (← links)
- Ranking-Based Variable Selection for high-dimensional data (Q5134486) (← links)
- A link-free sparse group variable selection method for single-index model (Q5138715) (← links)
- Variable selection through CART (Q5174380) (← links)
- Robust Variable and Interaction Selection for Logistic Regression and General Index Models (Q5229910) (← links)
- Refined Generalization Bounds of Gradient Learning over Reproducing Kernel Hilbert Spaces (Q5380250) (← links)
- Model-free coordinate test and variable selection via directional regression (Q5739474) (← links)
