Sliced average variance estimation for tensor data

DOI10.1007/S10255-024-1024-8MaRDI QIDQ6565525

Pei Wen Xiao, Chao Ying, Chuan-Quan Li, Xiao Hui Liu

Publication date: 2 July 2024

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

zbMATH Keywords

sufficient dimension reductionsliced average variance estimationcentral subspacetensor data

Mathematics Subject Classification ID

Nonparametric inference (62Gxx)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Tensor Decompositions and Applications
• A constructive approach to the estimation of dimension reduction directions
• Tensor sliced inverse regression
• Asymptotics for sliced average variance estimation
• Covariance estimation via sparse Kronecker structures
• A slice of multivariate dimension reduction
• On kernel method for sliced average variance estimation
• On dimension folding of matrix- or array-valued statistical objects
• Contour regression: a general approach to dimension reduction
• On Directional Regression for Dimension Reduction
• Sliced Inverse Regression for Dimension Reduction
• A Review on Dimension Reduction
• Sufficient dimension folding via tensor inverse regression
• Dimension folding PCA and PFC for matrix-valued predictors
• Sufficient Dimension Reduction via Inverse Regression
• On Sliced Inverse Regression With High-Dimensional Covariates
• Fréchet sufficient dimension reduction for random objects
• A selective overview of sparse sufficient dimension reduction
• Comment
• Tensor sufficient dimension reduction

This page was built for publication: Sliced average variance estimation for tensor data

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6565525)