Pages that link to "Item:Q688391"
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The following pages link to On almost linearity of low dimensional projections from high dimensional data (Q688391):
Displaying 50 items.
- Partial projective resampling method for dimension reduction: with applications to partially linear models (Q1658430) (← links)
- Inference for biased transformation models (Q1658440) (← links)
- Adaptive conditional feature screening (Q1660163) (← links)
- Two step composite quantile regression for single-index models (Q1800087) (← links)
- A robust estimator of multivariate location based on projection (Q1807867) (← links)
- Assessing linearity in high dimensions. (Q1848767) (← links)
- Dimension reduction for conditional mean in regression (Q1848945) (← links)
- A study of sensitivity analysis on the method of principal Hessian directions (Q1861593) (← links)
- Asymptotic distributions for testing dimensionality in \(q\)-based pHd. (Q1871226) (← links)
- Testing predictor contributions in sufficient dimension reduction. (Q1879930) (← links)
- Dimension reduction for regression estimation with nearest neighbor method (Q1952062) (← links)
- Iterative application of dimension reduction methods (Q1952235) (← links)
- Nearest neighbor inverse regression (Q1970486) (← links)
- Estimation for biased partial linear single index models (Q2002712) (← links)
- Kernel sliced inverse regression: regularization and consistency (Q2015724) (← links)
- On testing common indices for two multi-index models: a link-free approach (Q2018597) (← links)
- A distribution-based Lasso for a general single-index model (Q2018911) (← links)
- Estimation and clustering for partially heterogeneous single index model (Q2062400) (← links)
- Advanced topics in sliced inverse regression (Q2062795) (← links)
- High-dimensional sufficient dimension reduction through principal projections (Q2136660) (← links)
- Distributed estimation in heterogeneous reduced rank regression: with application to order determination in sufficient dimension reduction (Q2140870) (← links)
- Central subspaces review: methods and applications (Q2172454) (← links)
- Nonparametric variable selection and its application to additive models (Q2183769) (← links)
- Data-independent random projections from the feature-map of the homogeneous polynomial kernel of degree two (Q2195436) (← links)
- Double-slicing assisted sufficient dimension reduction for high-dimensional censored data (Q2215728) (← links)
- An ensemble of inverse moment estimators for sufficient dimension reduction (Q2242021) (← links)
- High-dimensional regression analysis with treatment comparisons (Q2255930) (← links)
- A sliced inverse regression approach for data stream (Q2259777) (← links)
- Estimation and hypothesis test for single-index multiplicative models (Q2273153) (← links)
- Model-based SIR for dimension reduction (Q2275652) (← links)
- Adaptive-to-model checking for regressions with diverging number of predictors (Q2313276) (← links)
- Optimal sufficient dimension reduction in regressions with categorical predictors (Q2370477) (← links)
- Determining the dimension of iterative Hessian transformation (Q2388334) (← links)
- Robust and efficient direction identification for groupwise additive multiple-index models and its applications (Q2398077) (← links)
- On the single-index model estimate of the conditional density function: consistency and implementation (Q2407115) (← links)
- Projections of a general binary model on a logistic regression (Q2412697) (← links)
- Estimation for single-index models via martingale difference divergence (Q2416786) (← links)
- New efficient estimation and variable selection in models with single-index structure (Q2453903) (← links)
- On surrogate dimension reduction for measurement error regression: An invariance law (Q2466685) (← links)
- Cluster-based sliced inverse regression (Q2511340) (← links)
- A theoretical view of the envelope model for multivariate linear regression as response dimension reduction (Q2512574) (← links)
- A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (Q2512772) (← links)
- High-dimensional principal projections (Q2514169) (← links)
- Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach (Q2571813) (← links)
- Conditional regression for single-index models (Q2676954) (← links)
- Canonical correlation analysis through linear modeling (Q2802862) (← links)
- An empirical process view of inverse regression (Q2821482) (← links)
- Multiple loci mapping via model-free variable selection (Q2893976) (← links)
- On distribution-weighted partial least squares with diverging number of highly correlated predictors (Q2920280) (← links)
- Statistical inference for single-index panel data models (Q2922170) (← links)
