Model-based SIR for dimension reduction
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Publication:2275652
DOI10.1016/j.csda.2011.05.006zbMath1218.62037arXiv1508.02186OpenAlexW2050083787MaRDI QIDQ2275652
Publication date: 9 August 2011
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1508.02186
Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12)
Related Items (9)
Entropy-based sliced inverse regression ⋮ A new sliced inverse regression method for multivariate response ⋮ A robust proposal of estimation for the sufficient dimension reduction problem ⋮ Sufficient dimension reduction for clustered data via finite mixture modelling ⋮ Using DAGs to identify the sufficient dimension reduction in the principal fitted components model ⋮ Tail dimension reduction for extreme quantile estimation ⋮ Nonparametric confidence intervals for conditional quantiles with large-dimensional covariates ⋮ Modal Principal Component Analysis ⋮ On central matrix based methods in dimension reduction
Uses Software
Cites Work
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- Comment
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