Pages that link to "Item:Q2388983"

The following pages link to Kernel dimension reduction in regression (Q2388983):

Displaying 50 items.

• Minimax adaptive dimension reduction for regression (Q2451628) (← links)
• Dimension reduction via marginal high moments in regression (Q2489887) (← links)
• Exploring central subspace via contour regression (Q2511810) (← links)
• Nonlinear and additive principal component analysis for functional data (Q2657189) (← links)
• Multivariate tests of independence based on a new class of measures of independence in reproducing kernel Hilbert space (Q2692923) (← links)
• A Cost Based Reweighted Scheme of Principal Support Vector Machine (Q2787351) (← links)
• Kernel additive sliced inverse regression (Q2796867) (← links)
• Probability-enhanced sufficient dimension reduction for binary classification (Q2927603) (← links)
• Transformed sufficient dimension reduction (Q2934763) (← links)
• A study on imbalance support vector machine algorithms for sufficient dimension reduction (Q2979033) (← links)
• A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning (Q3057231) (← links)
• Least-Squares Independent Component Analysis (Q3070790) (← links)
• A Shrinkage Estimation of Central Subspace in Sufficient Dimension Reduction (Q3072418) (← links)
• A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI (Q3121557) (← links)
• Diagnostic studies in sufficient dimension reduction (Q3455804) (← links)
• Sufficient dimension reduction and prediction in regression (Q3559952) (← links)
• (Q4524030) (← links)
• Characteristic and Universal Tensor Product Kernels (Q4558575) (← links)
• Sparse Estimation of Conditional Graphical Models With Application to Gene Networks (Q4916448) (← links)
• (Q4969096) (← links)
• Efficient estimation of conditional covariance matrices for dimension reduction (Q4975151) (← links)
• Gradient-Based Kernel Dimension Reduction for Regression (Q4975356) (← links)
• On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis (Q4975569) (← links)
• A Rigorous Theory of Conditional Mean Embeddings (Q5037567) (← links)
• Testing the Linear Mean and Constant Variance Conditions in Sufficient Dimension Reduction (Q5037808) (← links)
• Sliced Inverse Regression in Metric Spaces (Q5040480) (← links)
• Dimensionality Reduction, Regularization, and Generalization in Overparameterized Regressions (Q5065466) (← links)
• Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections (Q5072984) (← links)
• Sufficient dimension reduction with simultaneous estimation of effective dimensions for time-to-event data (Q5134477) (← links)
• Concordance‐based estimation approaches for the optimal sufficient dimension reduction score (Q5136956) (← links)
• Dealing with big data: comparing dimension reduction and shrinkage regression methods (Q5138553) (← links)
• Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities (Q5157134) (← links)
• Covariate Information Matrix for Sufficient Dimension Reduction (Q5208079) (← links)
• Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation (Q5327187) (← links)
• Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization (Q5380192) (← links)
• Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction (Q5380831) (← links)
• Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization (Q5383793) (← links)
• Dimension reduction in regression without matrix inversion (Q5447650) (← links)
• Sufficient dimension reduction via distance covariance with multivariate responses (Q5742396) (← links)
• A Generalized Kernel Method for Global Sensitivity Analysis (Q5862896) (← links)
• A selective overview of sparse sufficient dimension reduction (Q5880034) (← links)
• Computing functions of random variables via reproducing kernel Hilbert space representations (Q5963778) (← links)
• Comments on: ``Probability enhanced effective dimension reduction for classifying sparse functional data'' (Q5965488) (← links)
• Comment (Q5965645) (← links)
• Discussion of: Brownian distance covariance (Q5966378) (← links)
• A new reproducing kernel‐based nonlinear dimension reduction method for survival data (Q6049799) (← links)
• A structured covariance ensemble for sufficient dimension reduction (Q6050762) (← links)
• Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates (Q6079723) (← links)
• Conditional Functional Graphical Models (Q6107206) (← links)
• Tail inverse regression: dimension reduction for prediction of extremes (Q6137714) (← links)