Pages that link to "Item:Q1175375"
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The following pages link to Slicing regression: A link-free regression method (Q1175375):
Displaying 50 items.
- On dimension folding of matrix- or array-valued statistical objects (Q2380098) (← links)
- Projections of a general binary model on a logistic regression (Q2412697) (← links)
- Efficient and adaptive linear regression in semi-supervised settings (Q2413601) (← links)
- Adaptive estimation in the single-index model via oracle approach (Q2439930) (← links)
- On surrogate dimension reduction for measurement error regression: An invariance law (Q2466685) (← links)
- Empirical likelihood for single-index models (Q2507756) (← links)
- A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches (Q2512772) (← links)
- Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach (Q2571813) (← links)
- Contour regression: a general approach to dimension reduction (Q2583413) (← links)
- On the optimality of sliced inverse regression in high dimensions (Q2656585) (← links)
- Conditional regression for single-index models (Q2676954) (← links)
- Double-estimation-friendly inference for high-dimensional misspecified models (Q2684689) (← links)
- Error variance estimation for the single-index model (Q2810421) (← links)
- On central matrix based methods in dimension reduction (Q2851577) (← links)
- A Sliced Inverse Regression Approach for a Stratified Population (Q2890115) (← links)
- Selection and combination of biomarkers using ROC method for disease classification and prediction (Q3087593) (← links)
- Single-index modelling of conditional probabilities in two-way contingency tables (Q3106400) (← links)
- A Note on Multiple Regression for Single Index Model (Q3155398) (← 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<sub>α</sub>Method (Q3527754) (← links)
- Empirical likelihood for the varying-coefficient single-index model (Q3589852) (← links)
- Estimation of exponential regression parameters using binary data (Q4202729) (← links)
- An asymptotic theory for sliced inverse regression (Q4269953) (← links)
- Estimation of Network Parameters in Semiparametric Stochastic Perceptron (Q4323350) (← links)
- Statistical modelling via dimension reduction methods (Q4374251) (← links)
- (Q4633014) (← links)
- POOLED SLICING METHODS VERSUS SLICING METHODS (Q4787596) (← links)
- Residual information criterion for single-index model selections (Q4819559) (← links)
- Sliced inverse regression under linear constraints (Q4935412) (← links)
- Estimating coefficients of single-index regression models by minimizing variation (Q4960549) (← links)
- Efficient estimation of conditional covariance matrices for dimension reduction (Q4975151) (← links)
- Random sliced inverse regression (Q4976543) (← links)
- Efficient estimation in heteroscedastic single-index models (Q5012347) (← links)
- Wavelet-based estimation in a semiparametric regression model (Q5076037) (← links)
- Quantile regression for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system (Q5081038) (← links)
- Variable importance assessment in sliced inverse regression for variable selection (Q5086142) (← links)
- (Q5149019) (← links)
- Strong consistency of kernel estimator in a semiparametric regression model (Q5205851) (← links)
- On double-index dimension reduction for partially functional data (Q5228602) (← links)
- On the asymptotic behaviour of the recursive Nadaraya–Watson estimator associated with the recursive sliced inverse regression method (Q5264002) (← links)
- Empirical Likelihood for Single-Index Regression Models under Negatively Associated Errors (Q5265873) (← links)
- Inverse Regression in Binary Response LDV Model (Q5450550) (← links)
- Computational Outlier Detection Methods in Sliced Inverse Regression (Q5870991) (← links)
- Recursive kernel estimator in a semiparametric regression model (Q5881429) (← links)
- A structured covariance ensemble for sufficient dimension reduction (Q6050762) (← links)
- Strong consistency of kernel method for sliced average variance estimation (Q6053855) (← links)
- Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes (Q6079628) (← links)
- A Model-free Variable Screening Method Based on Leverage Score (Q6107196) (← links)
- Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension (Q6107209) (← links)
- Adaptive-to-Model Hybrid of Tests for Regressions (Q6107227) (← links)