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Comptes Rendus Mathématique
Volume 346, n° 3-4
pages 213-216 (février 2008)
Doi : 10.1016/j.crma.2007.10.043
Received : 23 Mars 2007 ;  accepted : 25 October 2007
Asymptotic properties of a dimension-robust quadratic dependence measure
Propriétés asymptotiques d’une mesure de dépendance quadratique robuste aux grandes dimensions
 

Sophie Achard
Brain Mapping Unit, University of Cambridge, Downing Site, Cambridge CB2 3EB, UK 

Abstract

The quadratic dependence measure is related to measures used in independence tests, but is derivable, thus suitable for independent component analysis. An adjustable kernel allows to accelerate the convergence of the estimator without affecting the bias. To cite this article: S. Achard, C. R. Acad. Sci. Paris, Ser. I 346 (2008).

The full text of this article is available in PDF format.
Résumé

La mesure de dépendance quadratique peut-être reliée aux mesures utilisées dans les tests d’indépendance, mais étant de plus dérivable, on peut l’utiliser dans les méthodes d’analyse en composantes indépendantes. Un noyau ajustable permet d’accélérer la convergence de l’estimateur sans pour autant affecter son biais. Pour citer cet article : S. Achard, C. R. Acad. Sci. Paris, Ser. I 346 (2008).

The full text of this article is available in PDF format.


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