The following pages link to (Q4217298):
Displaying 50 items.
- Distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction (Q2140870) (← links)
- Sufficient dimension reduction for average causal effect estimation (Q2147407) (← links)
- Nonlinear predictive directions in clinical trials (Q2157508) (← links)
- Central subspaces review: methods and applications (Q2172454) (← links)
- Dimensionality determination: a thresholding double ridge ratio approach (Q2178157) (← links)
- Nonparametric variable selection and its application to additive models (Q2183769) (← 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)
- Double-slicing assisted sufficient dimension reduction for high-dimensional censored data (Q2215728) (← links)
- Sliced inverse median difference regression (Q2220317) (← 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)
- Bayesian model averaging sliced inverse regression (Q2244445) (← links)
- Robust inverse regression for dimension reduction (Q2254161) (← links)
- High-dimensional regression analysis with treatment comparisons (Q2255930) (← links)
- Sparse dimension reduction for survival data (Q2259102) (← links)
- Using sliced mean variance-covariance inverse regression for classification and dimension reduction (Q2259752) (← links)
- Functional continuum regression (Q2274949) (← links)
- Model-based SIR for dimension reduction (Q2275652) (← links)
- Model checks for functional linear regression models based on projected empirical processes (Q2291339) (← links)
- Principal envelope model (Q2301089) (← links)
- Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (Q2302488) (← links)
- Central quantile subspace (Q2302519) (← links)
- Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates (Q2306879) (← links)
- A near-stationary subspace for ridge approximation (Q2310068) (← links)
- Adaptive-to-model checking for regressions with diverging number of predictors (Q2313276) (← links)
- Cluster-based least absolute deviation regression for dimension reduction (Q2323157) (← links)
- Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
- High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← 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)
- A theoretical note on optimal sufficient dimension reduction with singularity (Q2344874) (← links)
- Variable selection and estimation for semi-parametric multiple-index models (Q2345120) (← links)
- High dimensional single index models (Q2350065) (← links)
- Sparse sufficient dimension reduction using optimal scoring (Q2359474) (← links)
- Optimal sufficient dimension reduction in regressions with categorical predictors (Q2370477) (← links)
- On kernel method for sliced average variance estimation (Q2372139) (← links)
- A link-free approach for testing common indices for three or more multi-index models (Q2374411) (← links)
- Exploiting active subspaces to quantify uncertainty in the numerical simulation of the hyshot II scramjet (Q2374810) (← links)
- On dimension folding of matrix- or array-valued statistical objects (Q2380098) (← links)
- Determining the dimension of iterative Hessian transformation (Q2388334) (← links)
- Kernel dimension reduction in regression (Q2388983) (← links)
- On a new hybrid estimator for the central mean space (Q2402225) (← links)
- On relative efficiency of principal Hessian directions (Q2405927) (← links)
- Variable selection through adaptive MAVE (Q2407490) (← links)
- A minimum projected-distance test for parametric single-index Berkson models (Q2414882) (← links)
