Parsimonious Tensor Response Regression

Aiming at abundant scientific and engineering data with not only high dimensionality but also complex structure, we study the regression problem with a multidimensional array (tensor) response and a vector predictor. Applications include, among others, comparing tensor images across groups after adj...

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Veröffentlicht in:	Journal of the American Statistical Association 2017-07, Vol.112 (519), p.1131-1146
Hauptverfasser:	Li, Lexin, Zhang, Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Envelope method Multidimensional array Multivariate linear regression Reduced rank regression Sparsity principle Tensor regression Theory and Methods
Online-Zugang:	Volltext
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