The following pages link to Comment (Q5892253):
Displaying 50 items.
- Minimum average variance estimation with group Lasso for the multivariate response central mean subspace (Q2034465) (← links)
- Dimension reduction in spatial regression with kernel SAVE method (Q2034752) (← links)
- Sufficient dimension reduction and instrument search for data with nonignorable nonresponse (Q2040043) (← links)
- A slice of multivariate dimension reduction (Q2062766) (← links)
- Asymptotic and bootstrap tests for subspace dimension (Q2062780) (← links)
- Dimension reduction for functional regression with a binary response (Q2066493) (← links)
- Surrogate space based dimension reduction for nonignorable nonresponse (Q2076134) (← links)
- Fourier transform sparse inverse regression estimators for sufficient variable selection (Q2076139) (← links)
- Projective resampling estimation of informative predictor subspace for multivariate regression (Q2111957) (← links)
- Dimension reduction for functional data based on weak conditional moments (Q2119221) (← links)
- Functional sufficient dimension reduction through average Fréchet derivatives (Q2131260) (← links)
- Fused clustering mean estimation of central subspace (Q2131907) (← links)
- Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models (Q2134712) (← links)
- High-dimensional sufficient dimension reduction through principal projections (Q2136660) (← links)
- Conditional variance estimator for sufficient dimension reduction (Q2137046) (← links)
- Minimal \(\sigma\)-field for flexible sufficient dimension reduction (Q2137787) (← links)
- Distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction (Q2140870) (← links)
- Nonlinear predictive directions in clinical trials (Q2157508) (← links)
- Independence index sufficient variable screening for categorical responses (Q2157537) (← links)
- Outcome regression-based estimation of conditional average treatment effect (Q2164799) (← links)
- Central subspaces review: methods and applications (Q2172454) (← links)
- Sparse SIR: optimal rates and adaptive estimation (Q2176608) (← links)
- Generalized kernel-based inverse regression methods for sufficient dimension reduction (Q2189615) (← links)
- On post dimension reduction statistical inference (Q2196236) (← links)
- Robust dimension reduction using sliced inverse median regression (Q2208396) (← links)
- Partial dynamic dimension reduction for conditional mean in regression (Q2220435) (← links)
- Robust MAVE through nonconvex penalized regression (Q2242015) (← links)
- An ensemble of inverse moment estimators for sufficient dimension reduction (Q2242021) (← links)
- On principal graphical models with application to gene network (Q2242158) (← links)
- Feature filter for estimating central mean subspace and its sparse solution (Q2242163) (← links)
- Graph informed sliced inverse regression (Q2242175) (← links)
- Inverse regression for longitudinal data (Q2249841) (← links)
- Robust inverse regression for dimension reduction (Q2254161) (← links)
- Robust estimating equation-based sufficient dimension reduction (Q2254163) (← links)
- High-dimensional regression analysis with treatment comparisons (Q2255930) (← links)
- Sparse dimension reduction for survival data (Q2259102) (← links)
- The sliced inverse regression algorithm as a maximum likelihood procedure (Q2272112) (← links)
- Sufficient variable selection using independence measures for continuous response (Q2274957) (← links)
- Model-based SIR for dimension reduction (Q2275652) (← links)
- Nonparametric confidence intervals for conditional quantiles with large-dimensional covariates (Q2293722) (← links)
- Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (Q2302488) (← links)
- Central quantile subspace (Q2302519) (← links)
- Groupwise sufficient dimension reduction via conditional distance clustering (Q2303753) (← links)
- Adaptive-to-model checking for regressions with diverging number of predictors (Q2313276) (← links)
- Dimension reduction for kernel-assisted M-estimators with missing response at random (Q2317886) (← links)
- Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
- Gauss-Christoffel quadrature for inverse regression: applications to computer experiments (Q2329776) (← links)
- Robust sufficient dimension reduction via ball covariance (Q2337328) (← links)
- A note on cumulative mean estimation (Q2339572) (← links)
- Variable selection and estimation for semi-parametric multiple-index models (Q2345120) (← links)
