Pages that link to "Item:Q688391"

The following pages link to On almost linearity of low dimensional projections from high dimensional data (Q688391):

Displaying 50 items.

• An Inverse-regression Method of Dependent Variable Transformation for Dimension Reduction with Non-linear Confounding (Q2949875) (← links)
• Sufficient dimension reduction through informative predictor subspace (Q2953449) (← links)
• Mean response estimation with missing response in the presence of high-dimensional covariates (Q2980125) (← links)
• Dimension reduction in survival regressions with censored data via an imputed spline approach (Q3003007) (← links)
• Sufficient Dimension Reduction for Censored Regressions (Q3013981) (← links)
• Dimension Reduction in Regressions through Weighted Variance Estimation (Q3015906) (← links)
• A note On outlier sensitivity of Sliced Inverse Regression (Q3153641) (← links)
• Sufficient dimension reduction for conditional quantiles with alternative types of data (Q3390481) (← links)
• Some extensions of multivariate sliced inverse regression (Q3432722) (← links)
• Application of the Bootstrap Approach to the Choice of Dimension and the α Parameter in the SIR_αMethod (Q3527754) (← links)
• OLS for 1D Regression Models (Q3585286) (← links)
• Statistical modelling via dimension reduction methods (Q4374251) (← links)
• (Q4633014) (← links)
• An Adaptive Estimation of Dimension Reduction Space (Q4665890) (← links)
• Dimension Reduction for the Conditional<i>k</i>th Moment in Regression (Q4670763) (← links)
• A Semiparametric Approach to Dimension Reduction (Q4916449) (← links)
• On Sensitivity of Inverse Response Plot Estimation and the Benefits of a Robust Estimation Approach (Q4923051) (← links)
• Sliced inverse regression under linear constraints (Q4935412) (← links)
• Dimension reduction regressions with measurement errors subject to additive distortion (Q4960711) (← links)
• Tobit model estimation and sliced inverse regression (Q4970877) (← links)
• Dimension reduction boosting (Q4975124) (← links)
• Fused Estimators of the Central Subspace in Sufficient Dimension Reduction (Q4975418) (← links)
• Approximation of points on low-dimensional manifolds via random linear projections (Q4982420) (← links)
• A model-free conditional screening approach via sufficient dimension reduction (Q4988818) (← links)
• Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data (Q5040486) (← links)
• Extreme Quantile Estimation Based on the Tail Single-index Model (Q5066779) (← links)
• An enhanced random forest with canonical partial least squares for classification (Q5078911) (← links)
• Estimation and variable selection for a class of quantile regression models with multiple index (Q5079029) (← links)
• Partial index additive models with additive distortion measurement errors (Q5082966) (← links)
• Variable importance assessment in sliced inverse regression for variable selection (Q5086142) (← links)
• A link-free sparse group variable selection method for single-index model (Q5138715) (← links)
• Response dimension reduction: model-based approach (Q5147572) (← links)
• (Q5149040) (← links)
• Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
• On the asymptotic behaviour of the recursive Nadaraya–Watson estimator associated with the recursive sliced inverse regression method (Q5264002) (← links)
• Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units (Q5283308) (← links)
• Sliced Inverse Regression with Regularizations (Q5450462) (← links)
• Inverse Regression in Binary Response LDV Model (Q5450550) (← links)
• Computational Outlier Detection Methods in Sliced Inverse Regression (Q5870991) (← links)
• Inference for biased models: a quasi-instrumental variable approach (Q5964271) (← links)
• Variable-dependent partial dimension reduction (Q6051849) (← links)
• An improved sufficient dimension reduction-based kriging modeling method for high-dimensional evaluation-expensive problems (Q6120130) (← links)
• Tail inverse regression: dimension reduction for prediction of extremes (Q6137714) (← links)
• STATISTICAL INFERENCE WITH <i>F</i>-STATISTICS WHEN FITTING SIMPLE MODELS TO HIGH-DIMENSIONAL DATA (Q6145544) (← links)
• Specification testing of partially linear single-index models: a groupwise dimension reduction-based adaptive-to-model approach (Q6169912) (← links)
• De-noising boosting methods for variable selection and estimation subject to error-prone variables (Q6171767) (← links)
• Intensity estimation for inhomogeneous Gibbs point process with covariates-dependent chemical activity (Q6552787) (← links)
• Semiparametric recovery of central dimension reduction space with nonignorable nonresponse (Q6555339) (← links)
• A Random Projection Approach to Hypothesis Tests in High-Dimensional Single-Index Models (Q6567896) (← links)
• On sufficient dimension reduction for functional data: inverse moment-based methods (Q6600368) (← links)