Pages that link to "Item:Q997370"

The following pages link to Asymptotics for sliced average variance estimation (Q997370):

Displaying 47 items.

• On the extension of sliced average variance estimation to multivariate regression (Q257590) (← links)
• Multi-index regression models with missing covariates at random (Q391947) (← links)
• General directional regression (Q392056) (← links)
• Series expansion for functional sufficient dimension reduction (Q392062) (← links)
• An alternating determination-optimization approach for an additive multi-index model (Q434994) (← links)
• Principal support vector machines for linear and nonlinear sufficient dimension reduction (Q449992) (← links)
• Dimension reduction for the conditional \(k\)th moment via central solution space (Q450876) (← links)
• Coordinate-independent sparse sufficient dimension reduction and variable selection (Q620565) (← links)
• On expectile-assisted inverse regression estimation for sufficient dimension reduction (Q830708) (← links)
• Estimation for a partial-linear single-index model (Q847637) (← links)
• Functional sufficient dimension reduction: convergence rates and multiple functional case (Q897627) (← links)
• Dimension reduction using the generalized gradient direction (Q962359) (← links)
• On splines approximation for sliced average variance estimation (Q999006) (← links)
• Partial central subspace and sliced average variance estimation (Q1007475) (← links)
• Dimension reduction based on weighted variance estimate (Q1042922) (← links)
• Contour projected dimension reduction (Q1043711) (← links)
• Nonlinear surface regression with dimension reduction method (Q1622091) (← links)
• The hybrid method of FSIR and FSAVE for functional effective dimension reduction (Q1663193) (← links)
• Sufficient dimension reduction in regressions through cumulative Hessian directions (Q1927284) (← links)
• On determining the structural dimension via directional regression (Q1950739) (← links)
• Advanced topics in sliced inverse regression (Q2062795) (← links)
• Distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction (Q2140870) (← links)
• Generalized kernel-based inverse regression methods for sufficient dimension reduction (Q2189615) (← links)
• An ensemble of inverse moment estimators for sufficient dimension reduction (Q2242021) (← links)
• A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (Q2512772) (← links)
• An empirical process view of inverse regression (Q2821482) (← links)
• Penalized Weighted Variance Estimate for Dimension Reduction (Q2903834) (← links)
• Partially linear estimation using sufficient dimension reduction (Q2954221) (← links)
• Dimension Reduction in Regressions through Weighted Variance Estimation (Q3015906) (← links)
• A data-adaptive hybrid method for dimension reduction (Q3182738) (← links)
• Bagging Versions of Sliced Inverse Regression (Q3585296) (← links)
• On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models (Q4916943) (← links)
• Dimension reduction via adaptive slicing (Q5037837) (← links)
• Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data (Q5040486) (← links)
• Sliced Independence Test (Q5040487) (← links)
• Variable importance assessment in sliced inverse regression for variable selection (Q5086142) (← links)
• SAVE: Robust or not? (Q5087961) (← links)
• Sliced average variance estimation for multivariate time series (Q5742598) (← links)
• Computational Outlier Detection Methods in Sliced Inverse Regression (Q5870991) (← links)
• Recursive kernel estimator in a semiparametric regression model (Q5881429) (← links)
• Variable-dependent partial dimension reduction (Q6051849) (← links)
• Strong consistency of kernel method for sliced average variance estimation (Q6053855) (← links)
• Missing data analysis with sufficient dimension reduction (Q6059465) (← links)
• Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates (Q6079723) (← links)
• Projection divergence in the reproducing kernel Hilbert space: asymptotic normality, block-wise and slicing estimation, and computational efficiency (Q6168124) (← links)
• Data-driven slicing for dimension reduction in regressions: A likelihood-ratio approach (Q6492450) (← links)
• Sliced average variance estimation for tensor data (Q6565525) (← links)