The following pages link to Comment (Q5892253):
Displaying 50 items.
- Sliced inverse regression for multivariate response regression (Q1021999) (← links)
- Sliced mean variance-covariance inverse regression (Q1023521) (← links)
- A nonlinear multi-dimensional variable selection method for high dimensional data: sparse MAVE (Q1023796) (← links)
- Trimming influential observations for improved single-index model estimated sufficient summary plots (Q1023907) (← links)
- An integral transform method for estimating the central mean and central subspaces (Q1041081) (← links)
- Dimension reduction based on weighted variance estimate (Q1042922) (← links)
- An outlier robust unit root test with an application to the extended Nelson-Plosser data (Q1347098) (← links)
- Nonlinear confounding in high-dimensional regression (Q1359415) (← links)
- Dimension reduction for the conditional mean in regressions with categorical predictors (Q1431443) (← links)
- Entropy-based sliced inverse regression (Q1615091) (← links)
- Dimension reduction with missing response at random (Q1615199) (← links)
- Dimension reduction based on conditional multiple index density function (Q1620937) (← links)
- Nonlinear surface regression with dimension reduction method (Q1622091) (← links)
- On a new class of sufficient dimension reduction estimators (Q1642435) (← links)
- A unified approach to sufficient dimension reduction (Q1643805) (← links)
- Principal quantile regression for sufficient dimension reduction with heteroscedasticity (Q1657946) (← links)
- Student sliced inverse regression (Q1658180) (← links)
- Sufficient dimension reduction using Hilbert-Schmidt independence criterion (Q1658374) (← links)
- Partial projective resampling method for dimension reduction: with applications to partially linear models (Q1658430) (← links)
- Robust estimation and variable selection in sufficient dimension reduction (Q1658471) (← links)
- Canonical kernel dimension reduction (Q1658489) (← links)
- Ensemble sufficient dimension folding methods for analyzing matrix-valued data (Q1658995) (← links)
- Principal minimax support vector machine for sufficient dimension reduction with contaminated data (Q1660132) (← links)
- On dual model-free variable selection with two groups of variables (Q1661367) (← links)
- Fused mean-variance filter for feature screening (Q1662311) (← links)
- Supervised dimension reduction for ordinal predictors (Q1662936) (← links)
- Fused sliced average variance estimation (Q1674056) (← links)
- Estimating a sparse reduction for general regression in high dimensions (Q1702278) (← links)
- Using DAGs to identify the sufficient dimension reduction in the principal fitted components model (Q1726806) (← links)
- Stability approach to selecting the number of principal components (Q1729322) (← links)
- Tail dimension reduction for extreme quantile estimation (Q1744176) (← links)
- The effect of data contamination in sliced inverse regression and finite sample breakdown point (Q1744720) (← links)
- Dimension reduction-based significance testing in nonparametric regression (Q1753148) (← links)
- Slice inverse regression with score functions (Q1753150) (← links)
- Optimal estimation of slope vector in high-dimensional linear transformation models (Q1755121) (← links)
- Linearity identification for general partial linear single-index models (Q1793004) (← links)
- Generalized principal Hessian directions for mixture multivariate skew elliptical distributions (Q1795575) (← links)
- Sufficient dimension reduction in multivariate regressions with categorical predictors (Q1800068) (← links)
- Testing predictor contributions in sufficient dimension reduction. (Q1879930) (← links)
- Asymptotic distribution of test statistic for the covariance dimension reduction methods in regression (Q1881242) (← links)
- Two cross-validation criteria for SIR\({}_\alpha\) and PSIR\({}_\alpha\) methods in view of prediction (Q1887233) (← links)
- Sufficient dimension reduction in regressions through cumulative Hessian directions (Q1927284) (← links)
- A note on sensitivity of principal component subspaces and the efficient detection of influential observations in high dimensions (Q1951757) (← links)
- Dimension reduction for regression estimation with nearest neighbor method (Q1952062) (← links)
- Sparse supervised dimension reduction in high dimensional classification (Q1952086) (← links)
- Graphical tools for model-based mixture discriminant analysis (Q2009043) (← links)
- Kernel sliced inverse regression: regularization and consistency (Q2015724) (← links)
- On testing common indices for two multi-index models: a link-free approach (Q2018597) (← links)
- Connecting continuum regression with sufficient dimension reduction (Q2018617) (← links)
- Embedded ridge approximations (Q2020990) (← links)
