The following pages link to Comment (Q5892253):
Displaying 50 items.
- On sufficient dimension reduction via principal asymmetric least squares (Q5030937) (← links)
- Estimation of value-at-risk using single index quantile regression (Q5034184) (← links)
- Quantile Martingale Difference Divergence for Dimension Reduction (Q5037814) (← links)
- Dimension reduction via adaptive slicing (Q5037837) (← links)
- Sliced Inverse Regression in Metric Spaces (Q5040480) (← links)
- A Minimum Discrepancy Approach With Fourier Transform in Sufficient Dimension Reduction (Q5040483) (← links)
- Likelihood-Based Dimension Folding on Tensor Data (Q5040484) (← links)
- Distributed Sufficient Dimension Reduction for Heterogeneous Massive Data (Q5040486) (← links)
- Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests (Q5057244) (← links)
- Sparse sufficient dimension reduction with heteroscedasticity (Q5063222) (← links)
- Graph-Assisted Inverse Regression for Count Data and Its Application to Sequencing Data (Q5065992) (← links)
- Model-Free Variable Selection With Matrix-Valued Predictors (Q5066428) (← links)
- A METHOD OF LOCAL INFLUENCE ANALYSIS IN SUFFICIENT DIMENSION REDUCTION (Q5066770) (← links)
- <i>K</i>-medoids inverse regression (Q5077871) (← links)
- Variable importance assessment in sliced inverse regression for variable selection (Q5086142) (← links)
- SAVE: Robust or not? (Q5087961) (← links)
- Pairwise directions estimation for multivariate response regression data (Q5107355) (← links)
- Simultaneous estimation for semi-parametric multi-index models (Q5107460) (← links)
- Sufficient dimension folding via tensor inverse regression (Q5107782) (← links)
- A multi-index model for quantile regression with ordinal data (Q5129009) (← links)
- Dealing with big data: comparing dimension reduction and shrinkage regression methods (Q5138553) (← links)
- A link-free sparse group variable selection method for single-index model (Q5138715) (← links)
- Statistical learning on emerging economies (Q5139005) (← links)
- Covariate Information Matrix for Sufficient Dimension Reduction (Q5208079) (← links)
- Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions (Q5220403) (← links)
- On double-index dimension reduction for partially functional data (Q5228602) (← links)
- Overlapping sliced inverse regression for dimension reduction (Q5236744) (← links)
- Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
- Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units (Q5283308) (← links)
- Sufficient dimension reduction via distance covariance with multivariate responses (Q5742396) (← links)
- Sliced average variance estimation for multivariate time series (Q5742598) (← links)
- Impact of sufficient dimension reduction in nonparametric estimation of causal effect (Q5879959) (← links)
- Pseudo likelihood and dimension reduction for data with nonignorable nonresponse (Q5879974) (← links)
- A selective overview of sparse sufficient dimension reduction (Q5880034) (← links)
- Quantile treatment effect estimation with dimension reduction (Q5880051) (← links)
- Online sparse sliced inverse regression for high-dimensional streaming data (Q5880605) (← links)
- Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems (Q5881153) (← links)
- Recursive kernel estimator in a semiparametric regression model (Q5881429) (← links)
- The dual central subspaces in dimension reduction (Q5964282) (← links)
- Comment: Fisher lecture: Dimension reduction in regression (Q5965648) (← links)
- Model Checking in Large-Scale Dataset via Structure-Adaptive-Sampling (Q6039876) (← links)
- Nonparametric Estimation of Conditional Expectation with Auxiliary Information and Dimension Reduction (Q6040694) (← links)
- A new reproducing kernel‐based nonlinear dimension reduction method for survival data (Q6049799) (← links)
- A structured covariance ensemble for sufficient dimension reduction (Q6050762) (← links)
- Variable-dependent partial dimension reduction (Q6051849) (← links)
- Strong consistency of kernel method for sliced average variance estimation (Q6053855) (← links)
- Missing data analysis with sufficient dimension reduction (Q6059465) (← links)
- A note on marginal coordinate test in sufficient dimension reduction (Q6067031) (← links)
- Inference for the Dimension of a Regression Relationship Using Pseudo-Covariates (Q6079723) (← links)
- High-dimensional local polynomial regression with variable selection and dimension reduction (Q6089201) (← links)
