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...

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Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers. - 1998. - 104(2016), 1 vom: 14. Jan., Seite 93-110
1. Verfasser: Hero, Alfred O (VerfasserIn)
Weitere Verfasser: Rajaratnam, Bala
Format: Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
Schlagworte:Journal Article Big Data asymptotic regimes correlation estimation correlation mining correlation screening correlation selection graphical models large scale inference purely high dimensional mehr... sample complexity triple asymptotic framework unifying learning theory