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Une représentation graphique de la liaison statistique entre deux variables ordonnées

Éric Térouanne (1995)

Mathématiques et Sciences Humaines

Le stéréogramme de liaison est une représentation graphique simultanée de la distribution conjointe de deux variables ordonnées, de leurs distributions marginales, et de la densité de la première par rapport au produit des deux autres. On y lit une forme de liaison statistique qui est introduite sous le nom de liaison blackienne et dont on discute les rapports avec la liaison stochastique.

Univariate conditioning of copulas

Radko Mesiar, Vladimír Jágr, Monika Juráňová, Magda Komorníková (2008)

Kybernetika

The univariate conditioning of copulas is studied, yielding a construction method for copulas based on an a priori given copula. Based on the gluing method, g-ordinal sum of copulas is introduced and a representation of copulas by means of g-ordinal sums is given. Though different right conditionings commute, this is not the case of right and left conditioning, with a special exception of Archimedean copulas. Several interesting examples are given. Especially, any Ali-Mikhail-Haq copula with a given...

Using the one-versus-rest strategy with samples balancing to improve pairwise coupling classification

Wiesław Chmielnicki, Katarzyna Stąpor (2016)

International Journal of Applied Mathematics and Computer Science

The simplest classification task is to divide a set of objects into two classes, but most of the problems we find in real life applications are multi-class. There are many methods of decomposing such a task into a set of smaller classification problems involving two classes only. Among the methods, pairwise coupling proposed by Hastie and Tibshirani (1998) is one of the best known. Its principle is to separate each pair of classes ignoring the remaining ones. Then all objects are tested against...

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