Response dimension reduction for the conditional mean in multivariate regression

DOI10.1016/j.csda.2008.07.029zbMath1231.62095OpenAlexW2053550301MaRDI QIDQ115997

Jae Keun Yoo, R. Dennis Cook, Jae Keun Yoo, R. Dennis Cook

Publication date: December 2008

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.029

Mathematics Subject Classification ID

Related Items (6)

Chi-squared tests inkth-moment sufficient dimension reduction ⋮ mbrdr ⋮ Unstructured principal fitted response reduction in multivariate regression ⋮ A theoretical view of the envelope model for multivariate linear regression as response dimension reduction ⋮ Canonical Correlation Analysis Through Linear Modeling ⋮ Response dimension reduction: model-based approach

Cites Work

• On almost linearity of low dimensional projections from high dimensional data
• Some Covariance Models for Longitudinal Count Data with Overdispersion
• A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
• Optimal sufficient dimension reduction for the conditional mean in multivariate regression
• Asymptotic Theory of Overparameterized Structural Models
• Sliced Inverse Regression for Dimension Reduction
• A Model-Free Test for Reduced Rank in Multivariate Regression
• Dimension Reduction for Multivariate Response Data
• Sufficient Dimension Reduction via Inverse Regression
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