Pages that link to "Item:Q3981136"

The following pages link to Sliced Inverse Regression for Dimension Reduction (Q3981136):

Displaying 50 items.

• A robust inverse regression estimator (Q871022) (← links)
• Functional additive regression (Q888512) (← links)
• Robust direction identification and variable selection in high dimensional general single-index models (Q892888) (← links)
• Functional sufficient dimension reduction: convergence rates and multiple functional case (Q897627) (← links)
• Using sliced inverse mean difference for sufficient dimension reduction (Q900555) (← links)
• Dimension reduction based linear surrogate variable approach for model free variable selection (Q900762) (← links)
• Robust model-free feature screening via quantile correlation (Q900833) (← links)
• Estimation of inverse mean: an orthogonal series approach (Q901541) (← links)
• Local influence analysis for penalized Gaussian likelihood estimation in partially linear single-index models (Q904054) (← links)
• Principal fitted components for dimension reduction in regression (Q907947) (← links)
• Dimension reduction based on constrained canonical correlation and variable filtering (Q939658) (← links)
• Conditionally specified models and dimension reduction in the exponential families (Q943598) (← links)
• Successive direction extraction for estimating the central subspace in a multiple-index regres\-sion (Q943611) (← links)
• Sufficient dimension reduction for the conditional mean with a categorical predictor in multivariate regression (Q943616) (← links)
• Augmenting the bootstrap to analyze high dimensional genomic data (Q946203) (← links)
• Constrained regression model selection (Q951053) (← links)
• On the distribution of the left singular vectors of a random matrix and its applications (Q951163) (← links)
• Sliced inverse regression in reference curves estimation (Q956902) (← links)
• Cluster-based estimation for sufficient dimension reduction (Q956999) (← links)
• Isotonic single-index model for high-dimensional database marketing (Q957060) (← links)
• Dimension reduction summaries for balanced contrasts (Q958817) (← links)
• Robust dimension reduction based on canonical correlation (Q958917) (← links)
• Semi-parametric single-index two-part regression models (Q959233) (← links)
• Self-organizing map visualizing conditional quantile functions with multidimensional covariates (Q959296) (← links)
• Dimension reduction in functional regression with applications (Q959326) (← links)
• Exploiting predictor domain information in sufficient dimension reduction (Q961692) (← links)
• Longitudinal data analysis using sufficient dimension reduction method (Q961900) (← links)
• Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations (Q961950) (← links)
• On the structure of the quadratic subspace in discriminant analysis (Q962217) (← links)
• A sparse eigen-decomposition estimation in semiparametric regression (Q962349) (← links)
• Dimension reduction using the generalized gradient direction (Q962359) (← links)
• Pooled marginal slicing approach via SIR\({}_\alpha\) with discrete covariates (Q964647) (← links)
• Adaptive confidence region for the direction in semiparametric regressions (Q968488) (← links)
• Simultaneous confidence band and hypothesis test in generalised varying-coefficient models (Q972894) (← links)
• Sliced inverse moment regression using weighted chi-squared tests for dimension reduction (Q988945) (← links)
• Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates (Q990891) (← links)
• Iterative sliced inverse regression for segmentation of ultrasound and MR images (Q996432) (← links)
• Asymptotics for sliced average variance estimation (Q997370) (← links)
• On splines approximation for sliced average variance estimation (Q999006) (← links)
• Nonconcave penalized inverse regression in single-index models with high dimensional predic\-tors (Q1006667) (← links)
• New approaches to model-free dimension reduction for bivariate regression (Q1007453) (← links)
• Partial central subspace and sliced average variance estimation (Q1007475) (← links)
• Robust estimation of dimension reduction space (Q1010389) (← links)
• Dimension reduction for nonelliptically distributed predictors (Q1018641) (← links)
• Consistent estimation of the dimensionality in sliced inverse regression (Q1019450) (← links)
• On hybrid methods of inverse regression-based algorithms (Q1019889) (← links)
• Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression (Q1020831) (← links)
• An RKHS formulation of the inverse regression dimension-reduction problem (Q1020976) (← links)
• Sliced inverse regression for multivariate response regression (Q1021999) (← links)
• Sliced mean variance-covariance inverse regression (Q1023521) (← links)