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BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS()

Motivated by the increasing use of and rapid changes in array technologies, we consider the prediction problem of fitting a linear regression relating a continuous outcome Y to a large number of covariates X, eg measurements from current, state-of-the-art technology. For most of the samples, only th...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Boonstra, Philip S., Mukherjee, Bhramar, Taylor, Jeremy MG
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2013
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3891514/
https://ncbi.nlm.nih.gov/pubmed/24436727
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/13-AOAS668
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