High-Dimensional Elliptical Sliced Inverse Regression in Non-Gaussian Distributions

Cites Work

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Model-Free Feature Screening for Ultrahigh-Dimensional Data
Direction estimation in single-index models via distance covariance
Fisher lecture: Dimension reduction in regression
Deciding the dimension of effective dimension reduction space for functional and high-dimension\-al data
Coordinate-independent sparse sufficient dimension reduction and variable selection
Multivariate nonparametric methods with R. An approach based on spatial signs and ranks.
An RKHS formulation of the inverse regression dimension-reduction problem
Contour projected dimension reduction
An asymptotic theory for sliced inverse regression
General distribution theory of the concomitants of order statistics
Self-normalized Cramér-type large deviations for independent random variables.
Asymptotics for kernel estimate of sliced inverse regression
Some robust estimates of principal components
Robust inverse regression for dimension reduction
Minimax sparse principal subspace estimation in high dimensions
Contour regression: a general approach to dimension reduction
Estimating the structural dimension of regressions via parametric inverse regression
Diagnostic studies in sufficient dimension reduction
On Directional Regression for Dimension Reduction
Determining the Dimension in Sliced Inverse Regression and Related Methods
Sliced Inverse Regression for Dimension Reduction
On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
A multivariate version of kendall's τ
Determining the Dimensionality in Sliced Inverse Regression
On the Interpretation of Regression Plots
Graphics for Regressions With a Binary Response
Functional sliced inverse regression analysis
Extending Sliced Inverse Regression
Save: a method for dimension reduction and graphics in regression
Sure Independence Screening for Ultrahigh Dimensional Feature Space
Feature Screening via Distance Correlation Learning
An Adaptive Estimation of Dimension Reduction Space
Statistical Tools for Finance and Insurance
ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions
Multivariate extremes, aggregation and dependence in elliptical distributions
A Semiparametric Approach to Dimension Reduction
On Consistency and Sparsity for Principal Components Analysis in High Dimensions
Likelihood-Based Sufficient Dimension Reduction
Sufficient Reductions in Regressions With Elliptically Contoured Inverse Predictors
Sequential Sufficient Dimension Reduction for Large p, Small n Problems
Sparse sufficient dimension reduction
Robust singular value decomposition analysis of microarray data
The Rotation of Eigenvectors by a Perturbation. III
Perturbation bounds in connection with singular value decomposition
Sufficient Dimension Reduction via Inverse Regression
On Sliced Inverse Regression With High-Dimensional Covariates
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