Pages that link to "Item:Q4550653"

The following pages link to Save: a method for dimension reduction and graphics in regression (Q4550653):

Displaying 50 items.

• Sparse Sliced Inverse Regression Via Lasso (Q152378) (← links)
• On the extension of sliced average variance estimation to multivariate regression (Q257590) (← links)
• Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates (Q311288) (← links)
• Optimal quantization applied to sliced inverse regression (Q645618) (← links)
• Machine learning with squared-loss mutual information (Q742658) (← links)
• A new approach on recursive and non-recursive SIR methods (Q744733) (← links)
• Isometric sliced inverse regression for nonlinear manifold learning (Q746295) (← links)
• Wavelet methods in statistics: some recent developments and their applications (Q975559) (← links)
• Asymptotics for sliced average variance estimation (Q997370) (← links)
• On splines approximation for sliced average variance estimation (Q999006) (← links)
• On hybrid methods of inverse regression-based algorithms (Q1019889) (← links)
• Dimension reduction based on weighted variance estimate (Q1042922) (← links)
• A new sliced inverse regression method for multivariate response (Q1623600) (← links)
• The hybrid method of FSIR and FSAVE for functional effective dimension reduction (Q1663193) (← links)
• Fused sliced average variance estimation (Q1674056) (← links)
• The effect of data contamination in sliced inverse regression and finite sample breakdown point (Q1744720) (← links)
• Slice inverse regression with score functions (Q1753150) (← links)
• Dimension reduction in spatial regression with kernel SAVE method (Q2034752) (← links)
• Estimating multi-index models with response-conditional least squares (Q2044313) (← links)
• On the usage of joint diagonalization in multivariate statistics (Q2062786) (← links)
• Advanced topics in sliced inverse regression (Q2062795) (← links)
• Fusing sufficient dimension reduction with neural networks (Q2076151) (← links)
• Estimating covariance and precision matrices along subspaces (Q2219236) (← links)
• Model free estimation of graphical model using gene expression data (Q2233152) (← links)
• Using sliced mean variance-covariance inverse regression for classification and dimension reduction (Q2259752) (← links)
• Model-based reinforcement learning with dimension reduction (Q2281680) (← links)
• Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (Q2302488) (← links)
• Gauss-Christoffel quadrature for inverse regression: applications to computer experiments (Q2329776) (← links)
• On kernel method for sliced average variance estimation (Q2372139) (← links)
• A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (Q2512772) (← links)
• On the optimality of sliced inverse regression in high dimensions (Q2656585) (← links)
• Conditional regression for single-index models (Q2676954) (← links)
• A Sliced Inverse Regression Approach for a Stratified Population (Q2890115) (← links)
• Sufficient dimension reduction through informative predictor subspace (Q2953449) (← links)
• A data-adaptive hybrid method for dimension reduction (Q3182738) (← links)
• Bayesian inverse regression for supervised dimension reduction with small datasets (Q3389641) (← links)
• Bagging Versions of Sliced Inverse Regression (Q3585296) (← links)
• Extending Save and PHD (Q3593577) (← links)
• Dimension reduction regressions with measurement errors subject to additive distortion (Q4960711) (← links)
• Dimension Reduction via Gaussian Ridge Functions (Q4960976) (← links)
• (Q4969067) (← links)
• Sparse Sliced Inverse Regression via Cholesky Matrix Penalization (Q5040485) (← links)
• Data-guided Treatment Recommendation with Feature Scores (Q5040488) (← links)
• Variable importance assessment in sliced inverse regression for variable selection (Q5086142) (← links)
• SAVE: Robust or not? (Q5087961) (← links)
• Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities (Q5157134) (← links)
• On the Properties of the SAVE Directions (Q5172823) (← links)
• Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation (Q5327187) (← links)
• Sliced Average Variance Estimation for Censored Data (Q5495069) (← links)
• Sliced average variance estimation for multivariate time series (Q5742598) (← links)