The following pages link to Comment (Q5892253):
Displaying 50 items.
- Sparse sufficient dimension reduction using optimal scoring (Q2359474) (← links)
- Advances in seeded dimension reduction: bootstrap criteria and extensions (Q2361223) (← links)
- A link-free approach for testing common indices for three or more multi-index models (Q2374411) (← links)
- Determining the dimension of iterative Hessian transformation (Q2388334) (← links)
- On a new hybrid estimator for the central mean space (Q2402225) (← links)
- Efficient and adaptive linear regression in semi-supervised settings (Q2413601) (← links)
- A minimum projected-distance test for parametric single-index Berkson models (Q2414882) (← links)
- Sufficient dimension reduction and prediction in regression: asymptotic results (Q2418522) (← links)
- A goodness-of-fit test for variable-adjusted models (Q2419145) (← links)
- Sliced inverse regression for survival data (Q2442678) (← links)
- Sufficient dimension reduction on marginal regression for gaps of recurrent events (Q2443253) (← links)
- On efficient dimension reduction with respect to a statistical functional of interest (Q2448735) (← links)
- Dimension reduction via marginal high moments in regression (Q2489887) (← links)
- Moment-based dimension reduction for multivariate response regression (Q2499104) (← links)
- A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (Q2512772) (← links)
- Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach (Q2571813) (← links)
- On the consistency properties of linear and quadratic discriminant analyses (Q2581821) (← links)
- Contour regression: a general approach to dimension reduction (Q2583413) (← links)
- On the optimality of sliced inverse regression in high dimensions (Q2656585) (← links)
- An efficient multiple imputation approach for estimating equations with response missing at random and high-dimensional covariates (Q2661890) (← links)
- A robust proposal of estimation for the sufficient dimension reduction problem (Q2666070) (← links)
- On cross-distance selection algorithm for hybrid sufficient dimension reduction (Q2674514) (← links)
- An empirical process view of inverse regression (Q2821482) (← links)
- On distribution-weighted partial least squares with diverging number of highly correlated predictors (Q2920280) (← links)
- Probability-enhanced sufficient dimension reduction for binary classification (Q2927603) (← links)
- Supervised invariant coordinate selection (Q2934817) (← links)
- Partially linear estimation using sufficient dimension reduction (Q2954221) (← links)
- Dimension reduction in survival regressions with censored data via an imputed spline approach (Q3003007) (← links)
- Influence Functions for Dimension Reduction Methods: An Example Influence Study of Principal Hessian Direction Analysis (Q3103142) (← links)
- Bayesian inverse regression for supervised dimension reduction with small datasets (Q3389641) (← links)
- Sufficient dimension reduction for conditional quantiles with alternative types of data (Q3390481) (← links)
- Statistical modelling via dimension reduction methods (Q4374251) (← links)
- Fourier transform approach for inverse dimension reduction method (Q4559468) (← links)
- Sliced-Inverse-Regression--Aided Rotated Compressive Sensing Method for Uncertainty Quantification (Q4611526) (← links)
- Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights (Q4636407) (← links)
- (Q4637072) (← links)
- Trace pursuit variable selection for multi-population data (Q4643629) (← links)
- Dimension reduction in estimating equations with covariates missing at random (Q4643633) (← links)
- Classification via Bayesian Nonparametric Learning of Affine Subspaces (Q4916938) (← links)
- On Sensitivity of Inverse Response Plot Estimation and the Benefits of a Robust Estimation Approach (Q4923051) (← links)
- Minimum average deviance estimation for sufficient dimension reduction (Q4960553) (← links)
- Sufficient dimension reduction and prediction through cumulative slicing PFC (Q4960600) (← links)
- (Q4969042) (← links)
- (Q4969067) (← links)
- A note on sliced inverse regression with missing predictors (Q4969830) (← links)
- Tobit model estimation and sliced inverse regression (Q4970877) (← links)
- Fused Estimators of the Central Subspace in Sufficient Dimension Reduction (Q4975418) (← links)
- (Q4986369) (← links)
- A model-free conditional screening approach via sufficient dimension reduction (Q4988818) (← links)
- (Q5004040) (← links)
