Pages that link to "Item:Q1023796"

The following pages link to A nonlinear multi-dimensional variable selection method for high dimensional data: sparse MAVE (Q1023796):

Displaying 42 items.

• Learning sparse gradients for variable selection and dimension reduction (Q439003) (← links)
• Principal support vector machines for linear and nonlinear sufficient dimension reduction (Q449992) (← links)
• Stable direction recovery in single-index models with a diverging number of predictors (Q625784) (← links)
• An adaptive estimation of MAVE (Q643296) (← links)
• Forward selection and estimation in high dimensional single index models (Q670181) (← links)
• On expectile-assisted inverse regression estimation for sufficient dimension reduction (Q830708) (← links)
• Robust direction identification and variable selection in high dimensional general single-index models (Q892888) (← links)
• Dimension reduction based linear surrogate variable approach for model free variable selection (Q900762) (← links)
• Sufficient dimension reduction and variable selection for regression mean function with two types of predictors (Q952880) (← links)
• Robust estimation and variable selection in sufficient dimension reduction (Q1658471) (← links)
• Robust variable selection through MAVE (Q1800060) (← links)
• A distribution-based Lasso for a general single-index model (Q2018911) (← links)
• Minimum average variance estimation with group Lasso for the multivariate response central mean subspace (Q2034465) (← links)
• Modeling interactive components by coordinate kernel polynomial models (Q2063336) (← links)
• On post dimension reduction statistical inference (Q2196236) (← links)
• An ensemble of inverse moment estimators for sufficient dimension reduction (Q2242021) (← links)
• Feature filter for estimating central mean subspace and its sparse solution (Q2242163) (← links)
• Graph informed sliced inverse regression (Q2242175) (← links)
• Sparse dimension reduction for survival data (Q2259102) (← links)
• Single-index modal regression via outer product gradients (Q2291303) (← links)
• Variable selection and estimation for semi-parametric multiple-index models (Q2345120) (← links)
• High dimensional single index models (Q2350065) (← links)
• Variable selection through adaptive MAVE (Q2407490) (← links)
• Minimax adaptive dimension reduction for regression (Q2451628) (← links)
• The adaptive L1-penalized LAD regression for partially linear single-index models (Q2454024) (← links)
• Robust estimation and variable selection for varying-coefficient single-index models based on modal regression (Q2816857) (← links)
• Penalized LAD Regression for Single-index Models (Q2821006) (← links)
• Sparse MAVE with oracle panalties (Q2862619) (← links)
• Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association (Q5044698) (← links)
• Robust functional coefficient selection for the single-index varying coefficients regression model (Q5065282) (← links)
• Dimension reduction via local rank regression (Q5106774) (← links)
• Simultaneous estimation for semi-parametric multi-index models (Q5107460) (← links)
• Robust model-free feature screening for ultrahigh dimensional surrogate data (Q5107725) (← links)
• Covariate Information Matrix for Sufficient Dimension Reduction (Q5208079) (← links)
• Variable selection for sparse high-dimensional nonlinear regression models by combining nonnegative garrote and sure independence screening (Q5248920) (← links)
• Sufficient dimension folding for a functional of conditional distribution of matrix- or array-valued objects (Q5256290) (← links)
• A novel regularization method for estimation and variable selection in multi-index models (Q5866048) (← links)
• High-dimensional local polynomial regression with variable selection and dimension reduction (Q6089201) (← links)
• Locally penalized single-index model using B-splines and spherical coordinates (Q6544947) (← links)
• Determining the dimension of weighted inverse regression ensemble (Q6548887) (← links)
• Single-Index-Based CoVaR With Very High-Dimensional Covariates (Q6623175) (← links)
• A high-dimensional single-index regression for interactions between treatment and covariates (Q6640075) (← links)