Entropy-based sliced inverse regression

DOI10.1016/J.CSDA.2013.05.017zbMath1471.62090OpenAlexW1971956528MaRDI QIDQ1615091

Hideitsu Hino, Keigo Wakayama, Noboru Murata

Publication date: 2 November 2018

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

Full work available at URL: https://tsukuba.repo.nii.ac.jp/record/29404/files/CSDA_67.pdf

zbMATH Keywords

entropydimension reductionsliced inverse regression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (2)

A new sliced inverse regression method for multivariate response ⋮ Non-parametric entropy estimators based on simple linear regression

Uses Software

• R
• UCI-ml
• FastICA
• ElemStatLearn
• PRMLT

Cites Work

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• Kernel dimension reduction in regression
• A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning
• On Directional Regression for Dimension Reduction
• Sliced Inverse Regression for Dimension Reduction
• Sufficient Dimension Reduction via Inverse Regression
• Comment
• The elements of statistical learning. Data mining, inference, and prediction

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