POOLED SLICING METHODS VERSUS SLICING METHODS
From MaRDI portal
Publication:4787596
DOI10.1081/SAC-100105075zbMath1081.62527MaRDI QIDQ4787596
Publication date: 8 January 2003
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Related Items
A Sliced Inverse Regression Approach for a Stratified Population ⋮ A new sliced inverse regression method for multivariate response ⋮ Two cross-validation criteria for SIR\({}_\alpha\) and PSIR\({}_\alpha\) methods in view of prediction ⋮ APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ Variable importance assessment in sliced inverse regression for variable selection ⋮ Application of the Bootstrap Approach to the Choice of Dimension and the α Parameter in the SIRαMethod ⋮ Optimal quantization applied to sliced inverse regression ⋮ On principal graphical models with application to gene network ⋮ Sliced inverse regression in reference curves estimation ⋮ Pooled marginal slicing approach via SIR\({}_\alpha\) with discrete covariates ⋮ Sliced average variance estimation for multivariate time series ⋮ Cluster-based sliced inverse regression ⋮ A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches ⋮ Advanced topics in sliced inverse regression ⋮ Asymptotics for pooled marginal slicing estimator based on SIR\(_\alpha\) approach ⋮ Some extensions of multivariate sliced inverse regression
Cites Work
- Slicing regression: A link-free regression method
- An asymptotic theory for sliced inverse regression
- Asymptotics for kernel estimate of sliced inverse regression
- Determining the Dimension in Sliced Inverse Regression and Related Methods
- Sliced Inverse Regression for Dimension Reduction
- On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
- Measurement Error Regression with Unknown Link: Dimension Reduction and Data Visualization
- An asymptotic theory for sliced inverse regression
- Determining the Dimensionality in Sliced Inverse Regression
- Sliced inverse regression under linear constraints
- The effect of nonnormality on some multivariate tests and robustness to nonnormality in the linear model
