Sparse canonical correlation analysis from a predictive point of view

Canonical correlation analysis (CCA) describes the associations between two sets of variables by maximizing the correlation between linear combinations of the variables in each dataset. However, in high‐dimensional settings where the number of variables exceeds the sample size or when the variables...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Biometrical journal 2015-09, Vol.57 (5), p.834-851
Hauptverfasser:	Wilms, Ines, Croux, Christophe
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biometry - methods Canonical correlation analysis Correlation analysis Datasets Genomic data Genomics Lasso Penalized regression Regression Analysis Sparsity
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!