On hybrid methods of inverse regression-based algorithms
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Publication:1019889
DOI10.1016/j.csda.2006.01.005zbMath1161.62332OpenAlexW2095482618MaRDI QIDQ1019889
Megu Ohtaki, Yingxing Li, Li Xing Zhu
Publication date: 29 May 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2006.01.005
Multivariate analysis (62H99) Point estimation (62F10) Bayesian inference (62F15) Linear inference, regression (62J99)
Related Items (22)
Dimension reduction via adaptive slicing ⋮ A new sliced inverse regression method for multivariate response ⋮ On kernel method for sliced average variance estimation ⋮ A data-adaptive hybrid method for dimension reduction ⋮ The hybrid method of FSIR and FSAVE for functional effective dimension reduction ⋮ On a new hybrid estimator for the central mean space ⋮ SAVE: Robust or not? ⋮ General directional regression ⋮ Stationary subspace analysis based on second-order statistics ⋮ Iterative application of dimension reduction methods ⋮ An ensemble of inverse moment estimators for sufficient dimension reduction ⋮ Graph informed sliced inverse regression ⋮ Robust functional sliced inverse regression ⋮ Dimension Reduction in Regressions through Weighted Variance Estimation ⋮ A sliced inverse regression approach for data stream ⋮ Sliced average variance estimation for multivariate time series ⋮ Asymptotics for sliced average variance estimation ⋮ On splines approximation for sliced average variance estimation ⋮ A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches ⋮ Estimating multi-index models with response-conditional least squares ⋮ Dimension reduction based on weighted variance estimate ⋮ On central matrix based methods in dimension reduction
Cites Work
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- Estimating the dimension of a model
- Asymptotics for kernel estimate of sliced inverse regression
- On detection of the number of signals in presence of white noise
- On detection of the number of signals when the noise covariance matrix is arbitrary
- Two cross-validation criteria for SIR\({}_\alpha\) and PSIR\({}_\alpha\) methods in view of prediction
- Optimal smoothing in single-index models
- On kernel method for sliced average variance estimation
- Simultaneous Equations and Canonical Correlation Theory
- Determining the Dimension in Sliced Inverse Regression and Related Methods
- Sliced Inverse Regression for Dimension Reduction
- Determining the Dimensionality in Sliced Inverse Regression
- Extending Sliced Inverse Regression
- Using the Bootstrap to Select One of a New Class of Dimension Reduction Methods
- Assessing the Number of Linear Components in a General Regression Problem
- Identifying Regression Outliers and Mixtures Graphically
- Save: a method for dimension reduction and graphics in regression
- On Sliced Inverse Regression With High-Dimensional Covariates
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