Inférence de réseaux pour modèles inflatés en zéro

Inférence de réseaux pour modèles inflatés en zéro

L'inférence de réseaux ou inférence de graphes a de plus en plus d'applications notamment en santé humaine et en environnement pour l'étude de données micro-biologiques et génomiques. Les réseaux constituent en effet un outil approprié pour représenter, voire étudier des relations ent...

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Bibliographic Details
Main Author:	Karmann, Clémence
Other Authors:	Université de Lorraine
Language:	fr
Published:	2019
Subjects:	Inférence de graphes Réseaux Modèles inflatés en zéro Régression Pénalisation Lasso Sélection de variables Données gaussiennes doublement tronquées Dépendance conditionnelle Graph inference Networks Zero-inflated models Regression Lasso penalisation Variable selection Doubly truncated gaussian data Conditional dependency 519.54
Online Access:	http://www.theses.fr/2019LORR0146/document

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