Sufficient dimension reduction through informative predictor subspace
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Publication:2953449
DOI10.1080/02331888.2016.1148151zbMath1356.62055OpenAlexW2319026050MaRDI QIDQ2953449
Publication date: 4 January 2017
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2016.1148151
regressionsufficient dimension reductioncentral subspacenumerical studieslinearity conditioninformative predictor subspace
Nonparametric regression and quantile regression (62G08) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Related Items (3)
Fused clustering mean estimation of central subspace ⋮ Feature filter for estimating central mean subspace and its sparse solution ⋮ Projective resampling estimation of informative predictor subspace for multivariate regression
Cites Work
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- Dimension reduction for nonelliptically distributed predictors
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- Sufficient dimension reduction in multivariate regressions with categorical predictors
- Sufficient Dimension Reduction for Censored Regressions
- Simultaneous Equations and Canonical Correlation Theory
- Save: a method for dimension reduction and graphics in regression
- An Adaptive Estimation of Dimension Reduction Space
- Chi-squared tests inkth-moment sufficient dimension reduction
- Fused Estimators of the Central Subspace in Sufficient Dimension Reduction
- Sufficient Dimension Reduction via Inverse Regression
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