Partial central subspace and sliced average variance estimation

DOI10.1016/j.jspi.2008.06.002zbMath1156.62032OpenAlexW2047547937WikidataQ60571502 ScholiaQ60571502MaRDI QIDQ1007475

R. Dennis Cook, Sanford Weisberg, Yongwu Shao

Publication date: 20 March 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.06.002

zbMATH Keywords

marginal testspartial IRE

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Applications of statistics to environmental and related topics (62P12) Linear inference, regression (62J99)

Related Items

Dimension reduction in functional regression with categorical predictor, Partial sufficient dimension reduction on joint model of recurrent and terminal events, A new sliced inverse regression method for multivariate response, A link-free approach for testing common indices for three or more multi-index models, Model selection among dimension-reduced generalized Cox models, Projection expectile regression for sufficient dimension reduction, Partial dynamic dimension reduction for conditional mean in regression, Trace pursuit variable selection for multi-population data, Supervised dimensionality reduction via distance correlation maximization, A sliced inverse regression approach for data stream, Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates, On Partial Sufficient Dimension Reduction With Applications to Partially Linear Multi-Index Models

Uses Software

• ARC

Cites Work

• Unnamed Item
• Asymptotic inference for eigenvectors
• Sufficient dimension reduction in regressions with categorical predictors
• Testing predictor contributions in sufficient dimension reduction.
• Optimal sufficient dimension reduction in regressions with categorical predictors
• On Directional Regression for Dimension Reduction
• Sliced Inverse Regression for Dimension Reduction
• On the Interpretation of Regression Plots
• Dimension Reduction in Binary Response Regression
• Sufficient Dimension Reduction in Regressions Across Heterogeneous Subpopulations
• Marginal tests with sliced average variance estimation
• Sufficient Dimension Reduction via Inverse Regression
• Comment