On principal Hessian directions for multivariate response regressions
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Publication:650718
DOI10.1007/s00180-010-0192-6zbMath1416.62328OpenAlexW2004927915MaRDI QIDQ650718
Publication date: 26 November 2011
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-010-0192-6
principal component analysisdimension reductioncanonical correlationsliced inverse regressionprincipal Hessian directionscentral mean subspacemultivariate response
Factor analysis and principal components; correspondence analysis (62H25) Hypothesis testing in multivariate analysis (62H15)
Related Items (4)
Interpretable, predictive spatio-temporal models via enhanced pairwise directions estimation ⋮ Pairwise directions estimation for multivariate response regression data ⋮ A selective review of sufficient dimension reduction for multivariate response regression ⋮ Efficient dimension reduction for multivariate response data
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- Comment
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