Covariate-Adjusted Tensor Classification in High Dimensions

In contemporary scientific research, it is often of great interest to predict a categorical response based on a high-dimensional tensor (i.e., multi-dimensional array) and additional covariates. Motivated by applications in science and engineering, we propose a comprehensive and interpretable discri...

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Veröffentlicht in:	Journal of the American Statistical Association Jg. 114; H. 527; S. 1305 - 1319
Hauptverfasser:	Pan, Yuqing, Mai, Qing, Zhang, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Alexandria Taylor & Francis 03.07.2019 Taylor & Francis Group, LLC Taylor & Francis Ltd
Schlagworte:	Algorithms Classification Computer simulation Discriminant analysis engineering equations Mathematical analysis Multi-dimensional array Multicategory classification prediction Regression analysis Sparsity Statistical methods Statistics Tensor classification and regression Tensors Theory and Methods
ISSN:	0162-1459, 1537-274X, 1537-274X
Online-Zugang:	Volltext
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