Foundational Principles for Large-Scale Inference : Illustrations Through Correlation Mining

When can reliable inference be drawn in fue "Big Data" context? This paper presents a framework for answering this fundamental question in the context of correlation mining, wifu implications for general large scale inference. In large scale data applications like genomics, connectomics, a...

Description complète

Détails bibliographiques
Publié dans:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 104(2016), 1 vom: 14. Jan., Seite 93-110
Auteur principal: Hero, Alfred O (Auteur)
Autres auteurs: Rajaratnam, Bala
Format: Article
Langue:English
Publié: 2016
Accès à la collection:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
Sujets:Journal Article Big Data asymptotic regimes correlation estimation correlation mining correlation screening correlation selection graphical models large scale inference purely high dimensional plus... sample complexity triple asymptotic framework unifying learning theory